Sr Staff Software Engineer - Backend - Cadence

Backend, Engineering

in Seattle, Washington

• Full Time

Apply Now

About the Role

Cadence is a modern open source microservice orchestration platform developed at Uber and adopted by many leading companies. It serves as the backbone for more than 1,000 Cadence domains at Uber, powering billions of executions each month. With a rapidly growing open source community, Cadence offers the opportunity to make an impact not just at the company level but across the industry.

We are seeking a software engineer with experience building highly scalable, high throughput, low latency, multi tenant backend systems. Beyond technical expertise, we are looking for someone passionate about open source, someone who listens to the community, helps organize meetups, and addresses community needs. In this role, you will lead a large backend team, shape standards for both the Cadence team and its community, and contribute to the growth of cutting edge distributed technology.

To get more information about Cadence you check our website (https://cadenceworkflow.io/), LinkedIn page (https://www.linkedin.com/company/cadenceworkflow) or YouTube channel (https://www.youtube.com/@cadenceworkflow2989/videos).

---- What the Candidate Will Do ----

1. Contribute to an open source project used by many major companies
2. Write code to build new features to support more use cases
3. Develop and review design documents
4. Improve onboarding, observability and operability experiences for Cadence
5. Define standards for the processes used internally and externally

---- Basic Qualifications ----

1. Experience in team and technology leadership
2. Solid background in multiple programming languages, e.g. Go, Java or C++
3. Strong infrastructure experience. Experience in distributed systems and a good understanding of its fundamentals.
4. Great interpersonal skills, deep technical ability, and a portfolio of successful execution. You are open-minded to discuss various technical approaches and able to drive consensus across various stakeholders at Uber.
5. Excellent written and verbal communication skills, including the ability to gather requirements and draft detailed design documents.
6. BS degree in Computer Science or a related engineering field. Masters/Ph.D. preferred.
7. 10+ years of relevant software engineering experience

---- Preferred Qualifications ----

1. Experience with leading an open source project
2. Experience with Durable Functions, SWF or Temporal
3. Excellent coding skills with a high bar for quality and scalability
4. Familiarity with technologies like Kafka, OpenSearch, Cassandra, gRPC, protobuf, Prometheus

For Seattle, WA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Director, Engineering - Uber Direct

Engineering

New York, New York |

Seattle, Washington |

San Francisco, California

Full Time

Apply Now

About the Role

• Uber Direct is one of Uber’s fastest growing and most exciting marketplace bets, providing restaurants, grocers and retailers access to the same logistics and technical capabilities powering the Uber Eats product. We’re looking for a Director with past expertise in the logistics domain to lead the engineering organization building the experiences, systems and models powering the entire Uber Direct product & business.

The teams within this organization create products across a wide range of domains, undertaking efforts such as extending Uber’s logistics capabilities to warehouse & same day deliveries, unlocking external API access to Uber’s full logistics capabilities, optimizing auction model performance, and creating new, innovative opportunities for Earners.

What You’ll Do

• Build the long term vision and provide technical leadership, while influencing and partnering with your team to architect, design and build the next great logistics platform that can stand the test of scale and availability, while reducing operational overhead
• Strategize and collaborate closely with Product, Data Science and Engineering teams throughout the company to drive and shape the technical direction, product vision and roadmap
• Balance the team’s portfolio across table stakes logistics capabilities and risky, bold bets which open up new verticals & potential future business lines
• Build a strong engineering brand for Uber Direct and attract, mentor and develop the talent in the team
• Build trust and foster a collaborative team culture and help grow the respective leaders on the team
• Have an excellent executive presence to communicate the team’s vision/plan effectively and represent the Uber Direct engineering organization and POV in the overall Delivery+ group
• Build an influential culture of engineering excellence maintaining the balance and right tradeoff for building products for speed and tech debt
• Develop an operational model to achieve operational excellence for Product metrics and Engineering metrics

What You’ll Need

• Bachelor’s degree or equivalent experience
• A minimum of 10 years proven experience building software across the stack (mobile, platform, data pipelining and ML) and significant experience working on marketplace problems and distributed systems for large scale products
• Proven experience in designing, building, and managing large-scale realtime systems with high availability to support millions of users and/or high call volume.
• A minimum of 7 years of management experience leading software engineering teams
• Previous experience leading engineering and cross-functional teams operating in the logistics domain, whether it be middle mile, last mile, fulfillment, marketplace optimization, or other adjacent industries
• Obsession with the science of logistics combined with a passion for the real, physical details of building a global logistics networks that impacts millions of customers across all 3 sides of the marketplace

For New York, NY-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>The <strong>Autonomous Mobility & Delivery (AM&D)</strong> team is leading Uber’s autonomous future across Rides and Eats. As we move toward a world where autonomous and human-driven vehicles coexist, we're building a hybrid marketplace that seamlessly integrates AVs — ensuring reliability, efficiency, and massive scale.</p>
<p>Our work touches nearly every part of Uber. Over the past year, we have partnered with top Autonomous Vehicle OEMs to successfully bring AVs onto our Mobility and Delivery platforms. And we are just getting started. As we gear up for the next wave of growth, we are looking for a <strong>Senior Staff Engineer</strong> to help drive the vision and platform strategy that will power Uber’s autonomous future.</p>
<p>In this role, you will help design and scale the autonomous platform — building a foundation for faster OEM integrations, strengthening our simulation capabilities, and leveling up our data pipelines and reporting systems.</p>
<p><strong>What You Will Do</strong></p>
<ul>
<li><p><strong>Set the architectural vision:</strong> Define and drive the technical direction for the AM&D platform, partnering closely with product and business leaders to create real impact for Uber and our customers.</p></li>
<li><p><strong>Lead major platform initiatives:</strong> Own and scale critical systems across the API Gateway, Simulation Platform, and Data Pipelines & Reporting.</p></li>
<li><p><strong>Mentor and inspire:</strong> Provide technical leadership and coaching to a high-performing team of engineers, helping foster an innovative and collaborative culture.</p></li>
<li><p><strong>Build for scale and reliability:</strong> Design, develop, and deploy platform components that are resilient, extensible, and easily integrated across multiple Uber surfaces.</p></li>
<li><p><strong>Collaborate across Uber:</strong> Work with cross-functional and cross-company teams to ensure our autonomous platform aligns with Uber’s broader marketplace and product strategies.</p></li>
</ul>
<p><strong>Basic Qualifications</strong></p>
<ul>
<li><p>PhD or equivalent in Computer Science, Engineering, Mathematics or related field <strong>AND</strong> 4-years full-time Software Engineering work experience <strong>OR</strong> 7-years full-time Software Engineering work experience, <strong>WHICH INCLUDES</strong> 4-years total technical software engineering experience in one or more of the following areas:</p></li>
<li><p>Programming language (e.g. C, C++, Java, Python, or Go)</p></li>
<li><p><em>Note the 4-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these).  The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.</em></p></li>
<li><p>Past experience in developing large-scale, distributed systems</p></li>
<li><p>Strong understanding of technical architecture, system design, and problem solving acuity for sophisticated technical challenges</p></li>
<li><p>Proven track record of leading and scaling high-impact product platform initiatives. Strong technical expertise with deep knowledge of platform architecture, microservices, and best practices for building resilient, scalable systems</p></li>
<li><p>Demonstrated ability to work with cross-functional partners to drive business outcomes through a platform approach</p></li>
</ul>
<p><strong>Preferred Qualifications</strong></p>
<ul>
<li>Experience in building API platforms, data platforms, simulation or other foundational product platforms that serve multiple product teams</li>
<li>Experience in optimizing multiple-sided marketplace</li>
<li>Familiarity with Autonomous or Mobility or Delivery Systems, and understand challenges unique to the autonomous or mobility or delivery industries</li>
<li>Passionate about shaping the future of autonomous delivery and driving innovation in the industry</li>
</ul>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Sales Performance Management Application Developer

Engineering

New York, New York |

Seattle, Washington |

San Francisco, California |

Chicago, Illinois |

Sunnyvale, California

Full Time

Apply Now

About the Role

As a Sales Performance Management Application Developer on the Sales Automation Engineering team, you will serve as the bridge between technical implementation and strategic sales operations. You will be responsible for gathering and documenting business requirements, designing, building, testing, deploying, and providing post-production support on complex, high-impact cross-functional systems. These projects directly deliver value to our Commercial and Sales Operations teams.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Define and Design: Translate complex business requirements into a robust planning and operational architecture within the SPM system, ensuring scalability and performance.
2. Configure and Maintain: Build and optimize multi-application environments and permissions used for sales planning, incentive compensation management, and reporting within the SPM system.
3. Prioritize Engineering Excellence: Commit and adhere to rigorous engineering standards to prioritize Quality, Efficiency, Velocity, Security, and Growth in every build.

---- Basic Qualifications ----

1. Experience working with and building applications/models in commercial-grade enterprise sales planning platforms (specifically Pigment, Anaplan, or Jedox).
2. Strong communication and teamwork skills to bridge the gap between engineering and business stakeholders.
3. Excellent problem-solving and analytical skills to troubleshoot complex calculation logic.

---- Preferred Qualifications ----

1. Scripting & Languages: Proficiency in SQL, Python, and TypeScript.
2. AI-Assisted Development: Experience utilizing Cursor, Claude Code, or GitHub Copilot to accelerate development velocity.
3. Integration: Experience with REST API integrations.
4. Orchestration: Familiarity with tools such as Apache Airflow.

For Chicago, IL-based roles: The base salary range for this role is USD$138,000 per year - USD$153,000 per year.

For New York, NY-based roles: The base salary range for this role is USD$153,000 per year - USD$170,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$153,000 per year - USD$170,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$153,000 per year - USD$170,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$153,000 per year - USD$170,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Machine Learning Engineer – AV Labs

Machine Learning, Engineering

in San Francisco, California

• Full Time

Apply Now

About the Role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’re building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team will be focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race–and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match (millions of Uber trips every hour across cities, conditions, and edge cases create the data autonomy has been missing). We will build platforms that harness scale and real-world complexity to reimagine how the world moves.

You will be an AI/ML engineer in AV Labs and involved in the development and implementation of the latest machine learning techniques for computer vision and perception use cases. The ideal candidate will be able to identify issues, provide solutions and implement the fixes as well as setting a high technical excellence bar in all things we do. You’ll be able to collaborate with other engineers across networking, storage, compute, big data and cloud engineering, as well as with partner engineering teams which enables Uber’s mission of helping people go anywhere and get anything and earn their way.

What You Will Do

• Design and deliver software and tools as part of our state-of-the-art Machine Learning platform.
• Participate in developing the vision and technology roadmap for ML and Computer Vision at Uber.
• Provide technical leadership, influence and partner with fellow engineers to architect, design and build scalable solutions for ML and Computer Vision technology that can stand the test of scale and availability, while reducing operational overhead.
• Systems architecture design, including management of upstream and downstream dependencies.
• Drive datasets to accelerate ML and Computer Vision technologies, sensor data collection, processing, labeling, indexing and building comprehensive driving scenarios.
• Collaborate with platform, product and security engineering teams, and enable successful use of the latest ML techniques.
• Own the craftsmanship, reliability, and scalability of your solutions.
• Mentor and guide the professional and technical development of engineers on your team, and continuously improve software engineering practices.

Basic Qualifications

• Minimum 6 years of working experience in the ML/Robotics industry
• Bachelor degree in computer science, computer engineering or related fields
• Proficient in Python and Linux
• Proficient in perception technologies
• Familiar with OpenCV, TensorFlow/PyTorch
• Experience in leading large initiatives

Preferred Qualifications

• Master or PhD degree in computer vision or robotics
• Familiar with C++
• Familiar with the Robot Operating System (ROS)

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Engineering Manager, Competitive Data Platform

Manager, Engineering

in Sunnyvale, California

• Full Time

Apply Now

About the Role

Uber is looking for an Engineering Manager to lead the technical vision and execution for our competitive data platform. As a technical leader in this mission-critical space, you derive meaningful, actionable insight from incomplete, unstructured, noisy, and often unreliable data sources to better understand market dynamics, competitor behavior, and pricing strategy. The systems you build must extract signal from chaos, integrating low-trust external data into internal pricing and incentive systems, and shaping coherent narratives that guide Uber’s most strategic decisions.

What You'll Do

• Lead, develop and retain a team of exceptional engineers, providing technical direction, setting engineering and operational excellence standards, and fostering a culture of high-quality system design, experimentation, and resilience.
• Lead the design and development of systems that extract strategic insights from unreliable and fragmented market data
• Drive critical cross-functional initiatives by partnering with data science, security, product, and engineering teams to align technical solutions with business priorities and long-term strategy.

Basic Qualifications

• 5+ years of software engineering experience
• 3+ years of engineering management experience
• Experience building and operating data pipelines and data platforms at scale
• Strong technical background and experience leading projects involving backend systems, infrastructure, or platform development
• Experience improving system reliability, performance, and observability
• Experience hiring, developing, and managing junior to staff-level engineers
• Stellar written and verbal communication skills with the ability to communicate to technical and non-technical audiences up to 3 levels above

Preferred Qualifications

• Experience working with systems that manage marketplace dynamics
• Machine Learning Experience: supervised and unsupervised learning techniques
• Cybersecurity Knowledge: Understanding of web scraping techniques and countermeasures.
• Masters Degree or higher in Computer Science or related field

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Machine Learning Engineer II, Pricing

Machine Learning, Engineering

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders.

We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team’s technical direction and solve some of Uber’s most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide.

What You Will Do

• Design, develop, and productionize end-to-end ML solutions for large-scale distributed systems serving billions of trips
• Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
• Partner with senior engineers to plan the scope and execution of projects and mentor junior team members on design and implementation
• Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems

Basic Qualifications

• Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
• 2+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments
• Proficiency in programming languages such as Python, Scala, Java, or Go
• Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
• Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
• Familiarity with modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization), combined with proven ability and ambition to continuously deepen expertise in these areas

Preferred Qualifications

• Experience in translating ambiguous business problems into technical solutions in a structured and principled way
• Strong communication skills, including through documentation and design discussions
• Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
• Experience in reinforcement learning and causal machine learning

For New York, NY-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>Collaborates with stakeholders within the team to build and maintain backend services and solutions to support user-facing products.</p>
<p><strong>About the Team</strong><strong>(We are hiring for multiple teams)</strong></p>
<p>Grocery & Retail is Uber’s newest and fast growing business line, delighting customers with next-hour delivery of household essentials from their favorite local stores. The team is focused on building best-in-class products and technology to support merchants, consumers and couriers in shopping and fulfilling orders on the Uber platform. We solve challenging technical problems across consumer experiences, fulfillment orchestration, search, ranking, recommendations, catalog and merchant platforms to meet the needs of the growing business.</p>
<p>The Grocery and Retail team is looking for a Software Engineer to execute on the team’s ambitious and fast-paced technology strategy. This is an important and visible role with a potential for significant impact on the fast growing grocery and retail business. We are looking for someone with deep knowledge and passion for software engineering, enjoys solving challenging technical and product problems, and can effectively collaborate with stakeholders.</p>
<p><strong>What You’ll Do</strong></p>
<ul>
<li>Design, develop, and maintain robust and scalable software solutions</li>
<li>Collaborate with product managers, cross-engineering teams, data scientists and other partners to gather requirements and translate them into technical specifications</li>
<li>Identify opportunities and lead of the entire development lifecycle end-to-end, from architecture design and coding to deployment</li>
<li>Participate in code reviews, provide constructive feedback, and mentor junior engineers to foster a culture of continuous learning and improvement</li>
<li>Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment</li>
<li>Build and maintain scalable backend services and infrastructure</li>
<li>Stay up-to-date with the latest technologies and industry trends, evaluating their potential impact on our software systems and recommending appropriate integrations or improvements</li>
</ul>
<h2><strong>Basic

Qualifications

</strong></h2>
<ul>
<li>Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field with at least 3 years of full-time Software Engineering work experience OR PhD in Computer Science, Engineering, Mathematics or related field with at least 1 year of full-time Software Engineering work experience</li>
<li>Proficiency in at least one programming language such as Java, C++, Python, or Go</li>
<li>3 years of experience with backend development, building and delivering end-user products.</li>
</ul>
<h2><strong>Preferred

Qualifications

</strong></h2>
<ul>
<li>Master’s degree or higher in Computer Science, Engineering, Mathematics or related field</li>
<li>More than 5 years of full-time Software Engineering work experience</li>
<li>Proven experience building highly available distributed systems (at Uber scale) and working across multiple backend services</li>
<li>Experience working on scalable backend systems utilizing a microservices architecture</li>
<li>High bar for quality as demonstrated by code reviews, documentation, unit and integration testing</li>
<li>Experience with optimization techniques and algorithmic development</li>
<li>Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis</li>
</ul>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Senior Machine Learning Engineer - Marketplace Pricing

Machine Learning, Engineering

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders.

We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team’s technical direction and solve some of Uber’s most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide.

What You Will Do

• Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
• Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
• Collaborate with the team leads to set the team’s technical direction and own its implementation, providing technical mentorship to junior engineers
• Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems

Basic Qualifications

• Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
• 4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments, delivering measurable business impact over multiple quarters and making significant technical contributions
• Proficiency in programming languages such as Python, Scala, Java, or Go
• Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
• Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
• Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization)

Preferred Qualifications

• Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
• Experience leading complex technical projects and influencing the scope and output of others
• Track record of translating ambiguous business problems into technical solutions and driving multi-functional projects
• Excellent communication skills to lead initiatives and collaborate effectively with cross-functional partners
• Experience in reinforcement learning and causal machine learning

For New York, NY-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Engineering Manager II, Marketplace Pricing

Manager, Engineering

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. The leaders of the team guide the work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior leaders within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced organizational leaders.

We are looking for an exceptional Tech Lead Manager (TLM) or Engineering Manager (EM) with a track record of extraordinary impact and with a passion for building high-velocity engineering teams and large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead a team of top-tier engineers to design, develop, and productionize advanced ML models and pricing algorithms, involving deep learning, causal modeling, and reinforcement learning. You will work with peer EMs, cross-functional partners, and managers outside the org to translate company priorities into multi-year technical strategies and cross-team platform architecture. You will solve some of Uber’s most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide.

What You Will Do

• Lead a team of exceptional engineers and cross-functional partners to design and deliver high-impact technical solutions to complex business problems
• Drive organizational and technical strategy as well as roadmap ownership over a multi-year horizon and lead the implementation, including executive communication and alignment, platform-level architecture decisions, and cross-team leadership
• Lead and delegate the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
• Guide tech leads on developing novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
• Hire, develop, and retain top-tier MLEs while fostering a culture centered on teamwork, technical excellence, smart risk taking, and inclusivity

Basic Qualifications

• Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
• 8+ years of experience leading the development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters
• Experience driving timely execution through effective delegation, empowering tech leads, and leading cross-team alignment by setting clear priorities, incorporating input from diverse stakeholders, and resolving trade-offs between short term and long term priorities
• Proficiency upholding high standards of quality, reliability, and operational excellence through efficient review processes and data-driven process improvements
• Proficiency in programming languages such as Python, Scala, Java, or Go
• Proficiency with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
• Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
• Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
• Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. multi-objective, LP, convex optimization). Proficiency in reinforcement learning and causal machine learning

Preferred Qualifications

• 2+ years of leadership experience managing engineering teams as TLM or EM. Track record of delivering outstanding business impact for several multi-functional programs, products or platforms over multiple halves
• Proficiency translating complex business problems into multi-year technical strategies and cross-team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output across multiple teams
• Excellent communication and collaboration skills to lead initiatives across multiple teams and build strong relationships with peer managers, cross-functional partners, and managers outside the org
• Experience in hiring, developing, and retaining top-tier talent, and experience in designing a team with the right composition of skills and seniority to deliver against business goals

For New York, NY-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>Role Overview</strong></p>
<p>The Application Developer II supports FinTech within the CFO’s organization, with primary focus on enabling and optimizing <strong>Source-to-Pay (S2P) processes and supporting financial systems</strong> at scale.</p>
<p>This role centers on <strong>enterprise application development, ERP system customizations, and SaaS platform integrations</strong> that power procurement, supplier management, invoicing, and payables workflows. The position translates S2P business requirements into system configurations, extensions, APIs, integrations, and controlled enhancements across ERP platforms and other enterprise SaaS applications.</p>
<p>The role combines strong S2P domain expertise with hands-on application development, integration engineering, testing, support, and system optimization to ensure reliable, compliant, and efficient end-to-end procurement and payment processes.</p>
<p><strong>What You'll Do</strong></p>
<ul>
<li><p>Liaise with S2P stakeholders (Procurement, Finance Operations, Accounting, Strategic Finance) to translate business requirements into SaaS configurations, ERP customizations, and scalable integration designs.</p></li>
<li><p>Develop and maintain enterprise application integrations using APIs, endpoint configurations, middleware frameworks, and secure data exchange mechanisms.</p></li>
<li><p>Write and enhance scripts, integration logic, and automation workflows across ERP and other SaaS platforms supporting S2P processes.</p></li>
<li><p>Configure and manage inbound and outbound interfaces between Oracle Fusion, Coupa, Zip, Certa, and other enterprise systems.</p></li>
<li><p>Perform diagnostic testing, troubleshooting, and debugging of application issues, integration flows, and system configurations.</p></li>
<li><p>Provide technical support and incident management for assigned ERP and SaaS S2P modules, ensuring timely resolution and minimal business disruption.</p></li>
<li><p>Participate in SIT/UAT cycles, validation, and release deployments to ensure solution quality and operational readiness.</p></li>
<li><p>Optimize applications by refining integrations, improving API performance, implementing upgrades, and enhancing automation across S2P workflows.</p></li>
<li><p>Monitor system performance and partner with cross-functional teams to drive continuous improvements in procurement-to-payment lifecycle efficiency.</p></li>
</ul>
<p><strong>Basic Qualifications</strong></p>
<ul>
<li><p>Bachelor’s degree in Computer Science, Information Systems, Finance, IT, or related discipline (or equivalent experience).</p></li>
<li><p>3+ years experience in enterprise application development, ERP customization, or systems engineering within procurement, finance, or business environments.</p></li>
<li><p>Experience working with REST/SOAP APIs, middleware platforms, enterprise integrations, and application endpoints.</p></li>
<li><p>Experience translating S2P business requirements into technical specifications and system enhancements.</p></li>
<li><p>Strong troubleshooting, debugging, and root cause analysis skills.</p></li>
<li><p>Working knowledge of ERP financial systems and SaaS applications supporting procurement, sourcing, supplier management, and payables.</p></li>
<li><p>Strong understanding of Source-to-Pay (S2P) lifecycle processes.</p></li>
<li><p>Strong analytical and communication skills with ability to collaborate across technical and business stakeholders</p></li>
</ul>
<p><strong>Preferred Qualifications</strong></p>
<p><strong>ERP & SaaS Platform Expertise</strong></p>
<ul>
<li><p>Experience supporting Oracle Fusion modules (Procurement, Sourcing, Supplier Qualification Management, Payables).</p></li>
<li><p>Experience with SaaS procurement and supplier management tools such as Coupa, Zip, Certa, or similar enterprise platforms.</p></li>
<li><p>Experience building or maintaining ERP extensions, APIs, integrations, and automation solutions across multiple SaaS systems.</p></li>
</ul>
<p><strong>Application Support & Optimization</strong></p>
<ul>
<li><p>Experience in incident management, defect resolution, performance tuning, and system monitoring.</p></li>
<li><p>Experience supporting application upgrades, release cycles, and enhancement deployments.</p></li>
<li><p>Familiarity with reporting and analytics tools (Tableau, Power BI, ERP dashboards).</p></li>
</ul>
<p><strong>S2P Domain & Process Expertise</strong></p>
<ul>
<li><p>Strong understanding of procurement operations, supplier lifecycle management, invoicing, and payment processes.</p></li>
<li><p>Experience working within CFO/FinTech, Procurement Operations, or GBS/SSC environments.</p></li>
<li><p>Exposure to system-driven process standardization and automation initiatives within S2P transformations.</p></li>
<li><p>Experience building or maintaining ERP extensions, APIs, integrations, and automation solutions across multiple SaaS systems.</p></li>
</ul>
<p><strong>Application Support & Optimization</strong></p>
<ul>
<li><p>Experience in incident management, defect resolution, performance tuning, and system monitoring.</p></li>
<li><p>Experience supporting application upgrades, release cycles, and enhancement deployments.</p></li>
<li><p>Familiarity with reporting and analytics tools (Tableau, Power BI, ERP dashboards).</p></li>
</ul>
<p><strong>Finance & Process Expertise</strong></p>
<ul>
<li><p>Strong finance domain expertise with understanding of accounting controls, compliance requirements, and financial close processes.</p></li>
<li><p>Experience working within CFO/FinTech or GBS/SSC environments.</p></li>
<li><p>Exposure to system-driven process standardization and automation initiatives.</p></li>
</ul>
<p>For Dallas, TX-based roles: The base salary range for this role is USD$138,000 per year - USD$153,000 per year.</p>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$153,000 per year - USD$170,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Sr Staff Software Engineer

Backend, Engineering

in Sunnyvale, California

• Full Time

Apply Now

About the Role

Uber's Commerce Engineering group is responsible for maintaining and enhancing the infrastructure for orders and payments that enables all lines of businesses across Uber to conduct business. All commerce in and out of Uber flows through these mission-critical systems. With strict 4 9’s availability requirements, this is one of our largest scalable systems and the complex day-to-day interactions require careful coordination from engineers that have a deep sense of quality, security, and ingenuity. The Money Platform team owns the lifecycle of money movement for all orders (ridesharing trips, freight loads, eats orders, etc.) from beginning to end. As a critical central platform, we straddle the line between infrastructure and product in such a way that we solve deep technical challenges, at scale, in problem domains that are specific to Uber’s business. As a backend engineer on the Money Platform, you’ll be writing reliable and maintainable code that teams across the company rely on while collaborating extensively with those teams to anticipate the platform features required to enable them to launch new and innovative products.

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving around the world.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Work on payments platform as a tech lead backend engineer creating solutions catering to Uber's different lines of businesses
2. Be the advocate and design guardian for payments platform to solve business use cases working closely with core teams within Uber
3. Autonomously lead and deliver the project working with Product and other business functions
4. Create forward looking technical vision aligned with Uber's business priorities to evolve existing platform to its next iteration.
5. Mentor other engineers within and outside the team to be a force multiplier for the Company.

---- Basic Qualifications ----

1. Bachelor's or Master's degree in Computer Science or equivalent 10+ years of experience with systems software engineering.
2. Sound understanding of computer architecture and CS fundamentals.
3. Strong problem solving and coding skills demonstrated by solid academic or research projects
4. Demonstrated experience in leading large scale projects from concept to delivery while uplifting other engineers working with them.
5. Experience with Software Development processes such as design, planning, implementation, maintenance & documentation Demonstrated experience working collaboratively in cross-functional teams
6. Passion for learning new technologies, domains, and challenging the status quo.
7. Grit, drive and a strong feeling of ownership coupled with collaboration.

---- Preferred Qualifications ----

1. Payments Experience
2. Distributed systems experience
3. Held Sr IC title at a large scale company like Uber for past 2-3 years

For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p>The <strong>Marketplace Signals</strong> team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals—such as eyeball ETA, spinner time, and supply reliability indicators—are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions.</p>
<p><strong>What You'll Do</strong></p>
<ul>
<li>Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts).</li>
<li>Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized.</li>
<li>Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases.</li>
<li>Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.</li>
</ul>
<p><strong>What You'll Need</strong></p>
<ul>
<li>Strong problem-solving skills, with expertise in ML methodologies</li>
<li>Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech, recommender systems)</li>
<li>Experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java</li>
</ul>
<p><strong>Why Join Us?</strong></p>
<ul>
<li>Work on high-impact machine learning problems that directly improve Uber's marketplace efficiency.</li>
<li>Influence key business levers that optimize Uber’s pricing, matching, and rider/driver experience.</li>
<li>Build centralized marketplace signals that reduce redundancy and improve operational efficiency.</li>
<li>Join a high-caliber, innovative team tackling some of the hardest ML challenges in the industry.</li>
</ul>
<p>If you’re passionate about using ML to optimize real-world systems at a massive scale, we’d love to hear from you!</p>
<p><strong>What You Will Do:</strong></p>
<ul>
<li>Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts).</li>
<li>Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized.</li>
<li>Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases.</li>
<li>Ensure consistency and reliability across Uber's platform by maintaining high-quality marketplace signals that inform rider and driver experiences.</li>
<li>Reduce technical debt by streamlining signal infrastructure and minimizing redundant computations.</li>
<li>Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.</li>
<li>Work with real-time streaming data and large-scale distributed systems to ensure Uber's signals are up-to-date and responsive to market dynamics.</li>
</ul>
<p><strong>Basic

Qualifications

</strong></p>
<ul>
<li>Ph.D. or M.S. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.</li>
<li>6+ years of industry experience in machine learning, including building and deploying ML models at scale.</li>
<li>Experience in modern deep learning architectures and probabilistic modeling</li>
<li>Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn),</li>
<li>Solid understanding of MLOps practices, including design documentation, testing, and source code management with Git.</li>
<li>Advanced skills in the development and deployment of large-scale ML models and optimization algorithms</li>
<li>Strong business and product sense: ability to shape vague questions into well-defined analyses and success metrics that drive business decisions.</li>
</ul>
<p><strong>Preferred

Qualifications

</strong></p>
<ul>
<li>Expertise in developing causal inference methodologies, experimental designs, and advanced analytical methods.</li>
<li>Strong experience in building a wide range of models (e.g. causal inference, optimization, ML) for business applications.</li>
<li>Experience in algorithm development and rapid prototyping.</li>
<li>Design, develop, and operationalize econometric models to assess challenging causal problems such as product incrementality and long-term value</li>
<li>Propose, design, and analyze large scale online experiments and interpret the results to draw actionable conclusions.</li>
<li>Ability to drive clarity on the best modeling solution for a business objective.</li>
<li>Collaborate with cross-functional teams across disciplines such as product, engineering, and operations to drive system development end-to-end from generating ideas to productionizing.</li>
</ul>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

<p><strong>About the Role</strong></p>
<p>Uber’s Road Safety and Insurance Engineering teams sit at the intersection of real-world mobility, large-scale data systems, and safety-critical decision making. Our systems process <strong>petabytes of telematics, sensor, and behavioral data</strong> that help detecting crashes, assess driving risk and ultimately make every trip safer.</p>
<p>Every Uber trip, across ridesharing, delivery, and emerging mobility products, is made safer by the systems this role helps build. With <strong>#StandForSafety</strong> as a company-wide priority, this is a rare opportunity to shape backend platforms that operate at massive scale <strong>and</strong> have real-world impact.</p>
<p>We are looking for a <strong>Senior Staff Backend Engineer</strong> to provide technical leadership across <strong>Road Safety and Insurance engineering teams</strong>, leading complex, multi-team initiatives that span real-time data ingestion, signal processing, machine learning–powered risk assessment, and highly reliable backend platforms.</p>
<p><strong>What You'll Do</strong></p>
<p>As a Senior Staff Engineer, you will operate as a <strong>technical leader across teams</strong>, not just within a single codebase.</p>
<p>You will:</p>
<ol>
<li><strong>Lead large, cross-team technical initiatives</strong> collaborating with multiple platform teams, from early design through production rollout.</li>
<li><strong>Builds strategic relationships</strong> with internal stakeholders (e.g. engineering leaders, product managers, designers, operations representatives), partner teams and external partners to deliver on organizational goals.</li>
<li>Design and evolve <strong>backend systems that ingest, process, and analyze high-volume sensor and telematics data</strong> (e.g., GPS, accelerometer, gyroscope, vehicle signals and user feedbacks).</li>
<li>Partner closely with <strong>machine learning and data science teams</strong> to productionize ML and signal-processing models for crash detection, driving behavior detection etc.</li>
<li>Drive architectural decisions for <strong>low-latency streaming pipelines, distributed services, and offline/online data processing systems</strong>.</li>
<li>Anticipate and address <strong>scalability, reliability, and data quality challenges</strong> 1–2 years ahead, influencing platform direction proactively.</li>
<li>Set and role-model <strong>engineering best practices</strong> around system design, code quality, observability, incident response, and on-call excellence.</li>
<li>Mentor Senior engineers and Staff Engineers, raising the technical bar across the org.</li>
<li>Represent the org in <strong>company-wide technical discussions</strong>, design reviews, and architecture forums.</li>
</ol>
<p><strong>Basic Qualifications</strong></p>
<ol>
<li>BS or equivalent in Computer Science, Engineering, Mathematics, or a related field.</li>
<li>Proven experience <strong>designing and building large-scale distributed systems</strong> serving millions of users.</li>
<li>Strong computer science fundamentals: data structures, algorithms, system design, and performance optimization.</li>
<li>Demonstrated ability to <strong>lead complex projects across multiple teams or organizations</strong>.</li>
</ol>
<p><strong>Preferred Qualifications</strong></p>
<ol>
<li><strong>10+ years of professional software engineering experience</strong>, with significant backend depth.</li>
<li>Experience working with <strong>telematics, sensor data, time-series data, or signal processing systems</strong>.</li>
<li>Hands-on experience with <strong>streaming and real-time data pipelines</strong> (e.g., Kafka-like systems, stream processing frameworks).</li>
<li>Exposure to <strong>machine learning systems in production</strong>, including model integration, feature pipelines, or ML-powered decision systems.</li>
<li>Strong background in <strong>scalability engineering, data consistency, and system observability</strong>.</li>
<li>Track record of influencing architecture and technical direction across multiple teams.</li>
</ol>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Staff Software Engineer - iOS

iOS, Engineering

Seattle, Washington |

San Francisco, California

Full Time

Apply Now

About the Role

As a Staff Mobile Engineer on the Autonomous Mobility & Delivery (AM&D) team, you will define and drive the technical strategy behind Uber’s next-generation rider, eater, and merchant experiences in an autonomous world. Our mission is to enable safe, informative, and magical customer experiences without human driver interaction, while scaling AV commercialization globally.

This is an organization-level technical leadership role. You will operate across iOS and Android surfaces, shaping mobile architecture, influencing multi-team execution, and ensuring that our mobile platforms can support evolving autonomous and marketplace dynamics. You will partner deeply with backend, marketplace, AV integration, product, design, operations, and external partners to deliver cohesive, end-to-end experiences.

Beyond shipping features, you will anticipate long-term architectural needs, identify systemic gaps, and design durable solutions that increase developer velocity, reduce technical debt, and improve reliability across teams. You will lead complex, multi-quarter initiatives from inception through production, ensuring strong execution discipline and operational excellence.

This role is ideal for a mobile technical leader who thrives in high-ambiguity, zero-to-one environments and wants to shape both product direction and engineering standards at scale.

What You Will Do

1. Define and drive the long-term mobile technical strategy across iOS and Android for Autonomous Mobility & Delivery experiences
2. Lead large, cross-team initiatives from ideation through design, implementation, launch, and operational ownership
3. Architect scalable, modular, and maintainable mobile systems that support evolving autonomous and marketplace use cases
4. Anticipate future product and architectural needs, proactively addressing scalability, performance, and reliability challenges
5. Establish and promote mobile engineering best practices across architecture, testing, release processes, observability, and incident management
6. Partner closely with product, design, backend, marketplace, and operations teams to deliver cohesive, end-to-end customer experiences
7. Drive metrics-based execution, ensuring features are instrumented, measurable, and aligned with core business KPIs
8. Improve engineering velocity and quality by reducing technical debt and strengthening development workflows
9. Mentor senior engineers, elevate technical decision-making across teams, and raise the hiring bar through high-quality interviewing and feedback

---- Basic Qualifications ----

1. 5+ years of professional software engineering experience
2. 5+ years of hands-on mobile development experience in iOS and/or Android
3. Proven track record leading cross-team, multi-quarter technical initiatives from concept through production
4. Demonstrated experience defining and evolving mobile architecture in large-scale, consumer-facing applications
5. Strong expertise in modern mobile architecture patterns, modularization strategies, state management, and performance optimization
6. Experience driving metrics-based product development with strong reliability and quality guardrails
7. Experience improving engineering standards across teams, including code quality, testing strategy, release processes, and operational excellence
8. Strong cross-functional collaboration skills, with experience partnering with product, design, backend, and operations stakeholders

---- Preferred Qualifications ----

1. Experience building and scaling large consumer mobile platforms in transportation, mobility, logistics, or other real-time systems
2. Experience leading cross-platform architectural alignment across iOS and Android teams
3. Deep experience with experimentation frameworks, funnel optimization, and data-informed product iteration
4. Experience modernizing legacy mobile codebases while maintaining high product velocity
5. Experience designing mobile systems that integrate tightly with complex backend and marketplace platforms
6. Background working in fast-changing, zero-to-one product environments
7. Experience mentoring senior engineers and developing future technical leaders
8. Experience contributing to executive-level technical strategy discussions and org-wide engineering planning

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’re building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team will be focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race–and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match (millions of Uber trips every hour across cities, conditions, and edge cases create the data autonomy has been missing).</p>
<p>We will build platforms that harness scale and real-world complexity to reimagine how the world moves.</p>
<p>You will be a software engineer in AV Labs and involved in the development and implementation of the latest technology to evaluate self-driving stacks. The ideal candidate will be able to identify issues, provide solutions, and implement the fixes, as well as set a high technical excellence bar in all things we do.</p>
<p><strong>What You Will Do:</strong></p>
<ul>
<li>Design and deliver software to evaluate self-driving stacks.</li>
<li>Define metrics to evaluate the performance of self-driving stacks, such as perception, prediction, and planning.</li>
<li>Write batch pipelines to evaluate the self-driving stack using real-world driving data.</li>
<li>Explore simulation techniques to enrich the evaluation dataset.</li>
</ul>
<p><strong>Basic

Qualifications

</strong></p>
<ul>
<li>Minimum 5 years of total experience in the self-driving industry</li>
<li>Bachelor's degree in computer science, computer engineering or related fields</li>
<li>Proficient in Python, Linux, Spark, or Ray.</li>
<li>Familiar with Machine Learning and statistical analysis</li>
</ul>
<p><strong>Preferred

Qualifications

</strong></p>
<ul>
<li>Prior experience with Perception, Prediction, or Planning for autonomous vehicles.</li>
</ul>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Enterprise Application Developer

Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

Uber Engineering is a high-performance culture marked by perseverance and hyperproductivity. We’re looking for team players with natural customer service intuition who can work harder, faster, and smarter while taking technical excellence to a whole new level. You should be pumped about building a global transportation marketplace that spans a wide range of cities — varying from 100,000 to 10 million people in size — with unique regulatory, technical, and business requirements.

Application Developer (Enterprise Applications)

Uber Engineering operates in a high-performance environment driven by scale, reliability, and speed. We’re looking for an Application Developer Engineer who thrives at the intersection of IT, SaaS administration, automation, and customer impact. This role owns the operational health, configuration, and lifecycle of Uber’s core enterprise applications while acting as the highest escalation point for complex application issues.

You will partner closely with Engineering, Security, IT Ops, and Business stakeholders to ensure Uber’s critical collaboration and productivity platforms run securely, efficiently, and at global scale.

This is not a traditional service desk role, it’s a hands-on application ownership role with real influence over tooling, processes, and user experience across Uber.

What you’ll be doing:

1. Act as primary application developer and technical owner for enterprise SaaS applications including (but not limited to): Google Workspace, Zoom, Slack, Figma, Asana, Jira, Confluence, ServiceNow, Okta / Identity-integrated applications

2. Manage application configuration, access models, permissions, integrations, and automation.

3. Own application lifecycle management: onboarding, offboarding, renewals, vendor coordination, and feature rollouts.

4. Serve as Super Admin with the highest level of access to supported applications.

5. Resolve complex, escalated L3 application issues beyond standard troubleshooting.

6. Lead incident response for enterprise application outages or degradations.

7. Design and implement automation and integration workflows using JavaScript, Python, APIs, and Enterprise AI applications (Gemini, ChatGPT, Claude, Claude Code, MCP) to reduce manual effort and improve reliability.

8. Analyze ticket and usage data to identify trends, systemic issues, and opportunities for optimization.

9. Possess strong programming language knowledge, including Python, JavaScript, Java, and SQL.

10. Demonstrate strong knowledge of databases such as BigQuery and Apache Hive.

11. Act as the bridge between IT Engineering, Service Desk, Security, and Business stakeholders.

12. Provide actionable feedback to IT Engineering leadership on application pain points and improvement opportunities.

13. Own internal and external-facing documentation for enterprise applications.

14. Develop and maintain runbooks, SOPs, and escalation guides.

15. Ensure procurement and licensing processes follow logistics and compliance guidelines.

16. Perform additional duties as assigned to support enterprise application operations.

---- Basic Qualifications ----

1. 4+ years of IT or Enterprise Application Developer experience.

2. 3+ years supporting SaaS platforms at scale with admin-level access.

3. Strong scripting or coding skills (Python, Bash, APIs).

4. Strong knowledge of Enterprise AI applications, including Gemini, ChatGPT, Claude, Claude Code, and MCP.

5. Familiarity with identity and access management (Okta, AD, SSO, SCIM).

6. Proven experience acting as an escalation point for complex technical issues.

7. Strong documentation, training, and communication skills.

8. Ability to respond quickly to incidents and operate effectively in high-pressure situations.

9. Willingness to participate in on-call rotations and work outside standard business hours when needed.

---- Preferred Qualifications ----

1. 4+ years of experience in Enterprise Application Development or Software Engineering.

2. Demonstrated expertise in building and deploying automation using Python, JavaScript, and APIs.

3. Experience with data warehousing and querying large datasets (BigQuery, Hive).

4. Hands-on experience with version control systems (e.g., Git) and CI/CD tools.

5. Deep knowledge of Linux environments and cloud platforms (e.g., GCP, AWS).

6. Minimum of 3-4 years’ experience with escalations, process efficiency, and Tier 3 support.

7. Bachelor's Degree in Computer Science, or equivalent combination of education and experience.

8. Strong problem solving, organization, and project management skills.

9. Ability to take initiative and work independently, as well as part of a team.

10. Excellent verbal and written communication skills.

11. Willingness to participate in on-call rotations and work outside standard business hours when needed.

For San Francisco, CA-based roles: The base salary range for this role is USD$133,000 per year - USD$140,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$133,000 per year - USD$140,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Machine Learning Engineer - Applied AI

Machine Learning, Engineering

Sunnyvale, California |

San Francisco, California |

Seattle, Washington

Full Time

Apply Now

About the Team:

The Applied AI team collaborates with product teams across Uber to deliver innovative AI solutions for core business problems. We work closely with engineering, product and data science teams to understand core business problems and the potential for AI solutions, then deliver those AI solutions end-to-end. Key areas of expertise include Personalization, Generative AI, Computer Vision, ML Optimization and Geospatial AI.

About the Role:

We are building AI-native discovery experiences across Mobility and Delivery. Search, recommendations, and conversational AI are central to how millions of users discover rides, restaurants, grocery items, and retail products every day.  We are hiring a Staff ML Engineer (IC6) to define and lead the foundation model strategy powering these experiences.

At this level, you will not just build models — you will shape technical direction across teams, influence product strategy, and deliver measurable impact at global scale.

What the Candidate Will Do

• Own the end-to-end technical strategy for foundation models across Search, Recommendations, and Conversational AI.
• Drive architecture decisions that influence multiple product surfaces (Eats, Grocery, Retail, Mobility).
• Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants.
• Define long-term investment areas (build vs fine-tune vs partner models).
• Mentor senior engineers and act as a technical multiplier across the org.

Basic Qualifications

• Masters degree or Ph.D in Computer Science, Engineering, Mathematics
• 8+ years of ML experience, including significant work on large-scale deep learning systems.
• Demonstrated ownership of high-impact ML systems in search, recommendations, or conversational AI.
• Deep expertise in transformers, retrieval systems, ranking, and embedding architectures.
• Strong experience with PyTorch and distributed training .
• Track record of influencing technical direction across teams.
• Strong product intuition and ability to connect model improvements to business outcomes.

Preferred Qualifications

• Experience leading multi-team ML initiatives.
• Defined long-term technical roadmaps adopted across orgs.
• Elevated engineering standards through mentorship and technical leadership.

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Principal Engineer - AI Tools

Fullstack, Engineering

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

At Uber, Developer productivity is a cornerstone of our innovation engine – productive developers will deliver more features faster to our world-wide end users. We are seeking a world-class Principal Engineer (Director-equivalent) to lead the next frontier of software development by pioneering a new generation of AI-powered developer tools. This is one of our most senior individual contributor roles, designed for a technical visionary who will act as a force multiplier for thousands of engineers across the company.

You will be the key architect of our strategy to embed intelligence into every stage of the developer lifecycle—from ideation and documentation to coding, testing, deployment, and observability. Your work will directly accelerate developer velocity, elevate our standards for software quality, and unlock new business opportunities by enabling the rapid integration of agentic AI into our products.

This role carries executive-level visibility and the autonomy to solve our most complex engineering challenges. If you are a recognized expert in developer platforms and are passionate about leveraging AI to redefine engineering efficiency at a global scale, we want to hear from you.

What You'll Do

• Define the Vision: Architect and drive the long-term technical vision and roadmap for AI-powered developer tools and infrastructure at Uber.
• Evaluate and Execute on new solutions: Lead the design and implementation of novel systems that leverage Large Language Models (LLMs), static/dynamic analysis, and machine learning to create a world-class, intelligent developer experience.
• Drive Company-Wide Impact: You are a builder, so you won’t just stop at ideation. You’ll make sure the solutions you build concretely and measurably deliver, and show step-change improvements in key engineering metrics, including code velocity, review cycle time, test effectiveness, incident reduction, and overall feature launches.
• Lead Strategic Initiatives: Spearhead complex, cross-functional projects that require influencing and aligning multiple engineering organizations and their leadership.
• Enable New Business Verticals: Build the foundational platforms and tools that allow product teams to rapidly prototype, build, and scale new agentic AI features for our customers.
• Be the Technical Authority: Serve as the ultimate subject matter expert on developer productivity and AI-driven tooling, providing technical guidance and mentorship to senior engineers across the organization. You’ll bring your expertise from industry trends into our fast paced and evolving ecosystem.
• Innovate at Scale: Solve sophisticated technical challenges inherent in a distributed system that supports tens of thousands of microservices and mobile developers.

Basic Qualifications

• BS, MS, or PhD in Computer Science or a related technical field, or equivalent experience.
• 15+ years of relevant software engineering experience, with a proven track record of technical leadership and innovation.
• Demonstrated experience defining and leading large-scale, cross-organizational technical initiatives from concept to completion.
• Recognized expertise in developer platforms, infrastructure, CI/CD, and software development lifecycle tooling.
• Hands-on experience applying AI/ML/GenAI to solve complex software engineering problems.
• Experience influencing and aligning senior leadership (Director, VP level) on technical strategy and roadmaps.

Preferred Qualifications

• Deep expertise in leveraging Large Language Models (LLMs) and other generative AI techniques to build intelligent developer tools.
• A strong background in compilers, code analysis (static/dynamic), or building large-scale distributed systems.
• Experience building and scaling platforms that serve thousands of engineers in a complex, polyglot environment (Go, Java, Python, Swift, Kotlin).
• A history of significant contributions to the open-source community, publications in top-tier conferences, or patents in relevant fields.
• Expertise with modern build systems (e.g., Bazel, Buck) and container orchestration technologies (e.g., Kubernetes).

About the Team

Our organization’s mission is to enable Uber developers to build high-quality software consistently and without frustration. By joining us, you will be at the epicenter of Uber's engineering culture, with a unique opportunity to shape its future.

For San Francisco, CA-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Software Engineer - Autonomous

Backend, Engineering

in San Francisco, California

• Full Time

Apply Now

About the Role

The AM&D (Autonomous Mobility & Delivery) team owns the autonomous future of Uber’s Rides and Eats business. As we move towards a world where autonomous and human-driven vehicles coexist, Uber is tackling the challenge of building a hybrid marketplace that seamlessly integrates autonomous vehicles into the existing mobility and delivery ecosystem. This requires a delicate balance of optimizing experiences across human and AV drivers, ensuring the marketplace remains reliable, efficient, and scalable.

Our team touches nearly every surface and core service Uber provides. Over the past year, we’ve also partnered with some of the leading Autonomous Vehicle OEMs, enabling successful integrations in both Mobility and Delivery. As we look ahead, we expect significant business growth and are looking for a Staff Software Engineer to help drive this journey forward.

---- What You Will Do ----

1. Set the technical vision and lead the development of scalable systems that balance heterogeneous supplies of a hybrid marketplace.
2. Architect complex, distributed systems that handle the challenges of AV and human fleet coordination, ensuring Uber’s platform is robust, reliable, and ready for large-scale autonomous deployments.
3. Lead high-impact projects that span multiple teams and disciplines, collaborating with product, data science, operations, and external partners to drive innovation and deliver business-critical solutions.
4. Design and optimize algorithms that solve core marketplace problems such as routing, matching, pricing, and positioning, while ensuring AV and human vehicle operations work seamlessly together.
5. Innovate and lead the development of platform features that leverage autonomous vehicle data, pushing the boundaries of what is possible in mobility and delivery systems.
6. Mentor and guide senior engineers, driving the technical excellence of the team and fostering a culture of innovation and high performance.
7. Collaborate across the organization to ensure that autonomous components integrate smoothly into Uber’s broader ecosystem, setting the stage for years to come.

---- Basic Qualifications ----

1. Minimum 6+ years hands-on experience with backend development
2. Grit, drive and a deep feeling of ownership.
3. Expertise in system design and architecture, with the ability to lead the development of complex, scalable systems.
4. Strong leadership skills with a proven track record driving large, cross-functional projects and aligning stakeholders around a technical vision that delivers significant business impact.
5. A focus on impact, with a history of making strategic decisions that align with business goals and deliver measurable outcomes.

---- Preferred Qualifications ----

1. Background in autonomous vehicles (AV), with hands-on experience in developing, testing, or optimizing AV systems or related technologies.
2. Strong understanding of algorithms and data structures, especially in the context of real-time optimization, routing, or decision-making systems.
3. Experience with optimization techniques, such as linear programming, dynamic programming, or heuristic algorithms, and their application in large-scale systems.
4. Knowledge of marketplace dynamics, including supply-demand matching, pricing, and incentive systems, particularly in autonomous or transportation-related domains.
5. Familiarity with simulation environments and tools used for validating autonomous systems or optimizing large-scale networks.

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p>Uber invests a substantial annual marketing budget to attract and engage customers—including Riders, Drivers, Couriers, and Eaters—across a variety of channels, from traditional TV and print ads to digital mobile and web advertising.</p>
<p>The <strong>AdTech team</strong> is responsible for building the technological foundation to scale this advertising effort. We leverage data science, including models and LLMs, to achieve intelligent optimization and automation throughout the entire process. Our work spans the advertising loop, from initial budgeting and spend allocation to the granular optimization of which content is shown to whom and when. By maximizing the efficiency of a multi-billion-dollar advertising budget, the AdTech team is a critical enabler of Uber's growth, sharply focused on maximizing user acquisition and retention through effective marketing.</p>
<p>The <strong>Measurement and Optimization team within AdTech</strong> is seeking talented individuals to drive automated, intelligent decision-making for Uber's marketing investment. This is a high-impact role where you will define and execute the technical roadmap to measure, test, automate, and optimize Uber's significant marketing and brand spend. This work is crucial, as it directly drives substantial cost savings and contributes to Uber's growth across users, trips, and gross bookings. Join us if you are interested in building Uber's next-generation Marketing platform.</p>
<h2><strong>What You'll Do</strong></h2>
<ul>
<li><strong>Design and Deliver:</strong> Design, build, and deliver end-to-end marketing features that track, measure, report, execute and test and on Billions of ad spend and achieve efficient return on investment.</li>
<li><strong>Develop Services and products:</strong> Design, develop, and operate highly scalable and reliable services and backend systems to handle channel-specific complexities.</li>
<li><strong>AI Infrastructure Modernization:</strong> Modernize our tech stack to build a relevant contextual layer for AI-driven systems. Bridge the gap between petabyte-scale data and LLMs by developing low-latency retrieval systems and knowledge architectures that power highly accurate and context-aware AI features.</li>
<li><strong>Data Engineering:</strong> Consume petabyte-scale impression and click-level data. Leverage experience with large-scale data and Big Data technologies to build scalable data pipelines that support various ad tech use cases.</li>
<li><strong>Cross-Functional Collaboration:</strong> Work closely with Product Management, Data Science, and Marketing to experiment with new optimization strategies and build scalable production systems to operationalize successful approaches.</li>
<li><strong>Platform Integration:</strong> Collaborate with other Uber engineering teams to leverage and influence the roadmap of internal platforms like Michelangelo (ML), Bullseye (Audience Builder), Morpheus (Experimentation), and Flow (Workflow Automation).</li>
<li><strong>Keep the bar high</strong> on sustainable engineering by following best engineering practices, producing best in class of code, documentation, testing and monitoring.</li>
</ul>
<p><strong>What You'll Need</strong></p>
<p><strong>Basic Qualifications</strong></p>
<ul>
<li><strong>Experience:</strong> At least 6-10 years of software engineering experience</li>
<li><strong>Education:</strong> Bachelor’s degree in Computer Science, Physics, Mathematics, or a related technical field, or equivalent practical experience.</li>
<li><strong>Coding:</strong> <strong>Proven knowledge</strong> of Python, Spark, Java 8+ or Golang is amust-have with at least <strong>3 years</strong> of recent experience in either.</li>
<li><strong>Data Processing and Analysis:</strong> Experience in Batch/Stream data processing and Big Data technology and analysis.</li>
</ul>
<p><strong>Preferred Qualifications</strong></p>
<ul>
<li>Architecture

skills

Knowledge of data structures and an eye for architecture. You can discuss the tradeoff between architectural choices, both on a theoretical level and on an applied level.</li>
<li>High coding standards (TDD, Clean Code)</li>
<li>Proven track record within a production environment</li>
<li>A phenomenal teammate approach: You believe that you can achieve more on a team - that the whole is greater than the sum of its parts. You rely on others' feedback for continuous improvement.</li>
<li>Understanding business and design requirements, whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to detail leads to a delightful user experience.</li>
<li>Experience querying data using SQL</li>
<li>AdTech experience is a huge plus</li>
</ul>
<p>At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. We’ve grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.</p>
<p>We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>
<p>Uber is committed to a safe workplace. We have implemented COVID-19 safety protocols that meet or exceed local public health guidelines. Workplace safety remains our number one priority. As a result, and depending on the workplace location, Uber either requires* or recommends employees be vaccinated to access any of our facilities; this is subject to change solely at the Company’s discretion.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Machine Learning Engineer II

Machine Learning, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber’s Marketplace is at the core of the business. The Earner Incentive team in Marketplace builds products and systems that empower drivers through targeted incentives, creating a more balanced and efficient marketplace while enhancing earnings and experience.

The team owns the end-to-end incentive lifecycle, from ML-driven incentive generation to scalable online serving, answering questions such as who, where, when, how, and how much, powered by large-scale machine learning, optimization, and experimentation systems. These systems enable proactive, targeted incentives that shape supply, optimize earnings, and guide marketplace balance.

We are seeking a Machine Learning Engineer to help build and scale the technical foundations behind Uber’s driver incentive systems. You will be responsible for developing and productionizing large-scale ML models and decision systems that power both scheduled and near real-time incentive generation.

In this role, you will collaborate with senior engineers, product managers, and data scientists to implement technical solutions, navigate trade-offs, and maintain reliable production systems. Your work will directly impact marketplace efficiency and empower earning opportunities for millions of drivers worldwide.

What the Candidate Will Do

• Build, productionize, and maintain ML solutions and data pipelines for the large-scale systems that power Uber’s driver incentives.
• Implement and iterate on advanced ML and optimization techniques to improve marketplace efficiency and reliability, directly impacting the earning opportunities of millions of drivers.
• Translate business requirements into actionable technical tasks and practical, production-ready code, navigating technical trade-offs to ensure system reliability.
• Develop a deep understanding of incentives, pricing, and marketplace dynamics to build systems that align with operational needs and business goals.
• Contribute to high engineering standards by participating in design and code reviews, maintaining robust testing, and ensuring the stability of production ML systems.
• Partner closely with engineers, product managers, and scientists to ensure the successful delivery of high-impact solutions to marketplace problems.
• Own technical workstreams from development through production rollout, ensuring consistent execution and measurable impact on your immediate team’s goals.

Basic Qualifications

• Bachelor’s or M.S. degree in Computer Science, Statistics, Mathematics, Machine Learning, Operations Research, or a related technical field, or equivalent practical experience.
• 2+ years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation
• Solid understanding of machine learning and statistical techniques, including deep learning (e.g., multi-task learning), tree-based models, and experimentation.
• Proficiency in at least one production-grade language (Python, Scala, Java, or Go) and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, or scikit-learn).
• Solid software engineering fundamentals, including the ability to write clean, maintainable production code, conduct thorough code reviews, and implement testing best practices.
• Experience operating and monitoring ML models in a production setting, with a basic understanding of MLOps workflows.
• Strong learning mindset, proactive ownership, and effective communication skills; ability to collaborate effectively within cross-functional teams.

Preferred Qualifications

• 3+ years of experience in software engineering specializing in applied ML methods.
• Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
• Proven experience designing and crafting scalable, reliable, and reusable ML solutions using deep-learning techniques and statistical methods.
• Experience developing or deploying algorithms for pricing, matching, or incentive systems within a two-sided marketplace.
• Exposure to or experience with multi-armed bandits, reinforcement learning, or causal inference, specifically within production systems.
• Familiarity with large-scale data and ML infrastructure (e.g., Spark, Flink) and experience working with batch or real-time data processing pipelines.
• Ability to translate well-defined business problems into actionable ML tasks, prototype ideas quickly, and move projects from conception to production.
• Experience working on cross-functional or cross-org projects, partnering with Product, Scientists, and leads to shape technical strategies.
• A detail-oriented, truth-seeking mindset with a focus on producing and valuing analytical evidence to continuously improve technical solutions.

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Machine Learning Engineer II

Machine Learning, Engineering

in San Francisco, California

• Full Time

Apply Now

About the Role

The Marketplace Signals team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals—such as eyeball ETA, spinner time, and supply reliability indicators—are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions.

What You'll Do

• Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts).
• Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized.
• Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases.
• Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.

Basic Qualifications

• B.S. in Statistics, Mathematics, Computer Science, or Machine Learning
• 2 years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation
• Strong problem-solving skills, with expertise in ML methodologies
• Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech, recommender systems)
• Experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java

Preferred Qualifications

• 3+ years of experience in software engineering specializing in applied ML methods
• Experience in designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods.
• Detail-oriented, ownership and truth-seeking mindset.
• Values and produces analytic evidence and insight, as well as applying them to improve technical solutions.
• Experience working in a cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team’s strategies
• Master’s degree in Computer Science, Engineering, Mathematics or related field

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Software Engineer - Earner Incentive

Backend, Engineering

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber’s Marketplace sits at the core of the business. The Earner Incentive team in Marketplace builds large-scale platforms and services that empower drivers through targeted incentives, creating a more balanced, efficient marketplace while improving driver earnings and experience.

The team owns the end-to-end incentive lifecycle, from incentive configuration and generation to high-throughput, low-latency online serving. We build reliable, scalable, and earner-centric platforms and systems that power personalized incentive offers aligned with each earner’s preferences and driving patterns. These systems enable proactive, targeted incentives that shape supply, optimize earnings, and support marketplace balance at global scale.

We are seeking a Senior Backend Engineer to design, build, and scale the core services and data pipelines behind Uber’s driver incentive platforms. In this role,you will focus on backend and platform system design, service reliability, data consistency, and operational excellence, supporting both scheduled and near real-time incentive workflows across Uber’s marketplace.

You will collaborate closely with machine learning engineers, product managers, scientists, and operations partners to set technical direction, reason through trade-offs, and translate complex marketplace requirements into robust, production-ready backend systems. Your work will directly influence how incentives are delivered at scale - improving marketplace efficiency and reliability while enabling earning opportunities for millions of drivers worldwide.

What you will do

1. Design, build, productionize, and operate high-performance, scalable, and reliable backend platforms and data pipelines that power driver incentive systems at large scale.
2. Develop robust marketplace systems and incentive solutions that improve marketplace efficiency, reliability, and enable earning opportunities for millions of drivers.
3. Build deep domain expertise in incentives, pricing, and marketplace dynamics, and understand how these systems interact withOperations. Translate business requirements into clear problem statements and actionable technical plans, reasoning through trade-offs to deliver practical, production-ready solutions.
4. Work with ML engineers and scientists to deliver incentive systems and platforms and continuously improve product performance.
5. Contribute to the team’s technical direction by partnering with leads, designing scalable architectures, reviewing designs and code, and driving improvements in system performance, scalability, maintainability, and maintainability.
6. Drive strong engineering best practices across development, testing, monitoring, and operational excellence to ensure long-term system health and reliability.
7. Collaborate closely with engineers, product managers, scientists, and Operations to drive clarity, alignment, and delivery of high-impact solutions to complex business problems.
8. Own projects end-to-end, from ideation and design through production rollout and iteration, delivering timely results and measurable business impact across teams.
9. Mentor and support the growth of junior engineers.

Basic Qualifications

1. Master’s or Bachelor’s degree in Computer Science or a related field, or equivalent practical experience with demonstrated long-term impact.
2. 5+ years of experience across the full software development lifecycle, including requirements gathering, system design, implementation,testing, deployment, and operating large-scale production systems. Proven ability to deliver measurable business impact and a strong grasp of software engineering best practices.
3. Proficiency in at least one production language, such as Java, Scala, Go, Python, or C++.
4. Strong experience in backend development, including designing microservices, developing APIs, and building reliable, scalable services.
5. Proven track record of delivering impactful product features, balancing engineering quality, reliability, and execution speed.
6. Strong ownership and learning mindset, with excellent problem-solving, collaboration and communication skills; able to work effectively and independently in cross-functional environments.

Preferred Qualifications

1. Experience building and operating pricing, matching, or incentive platforms for two-sided marketplaces or consumer-facing products, with strong product intuition and system-level thinking.
2. Familiarity with large-scale data infrastructure and processing systems (e.g., Spark, Flink, Hive, Cassandra), including both batch and real-time pipelines.
3. Experience collaborating closely with Machine Learning Engineers and ML infrastructure teams, and integrating ML-driven solutions into backend systems to deliver measurable product and business impact.
4. Proven experience leading complex technical projects, influencing scope, technical direction, and execution across multiple engineers or teams, while delivering high-quality features with strong execution velocity.
5. Ability to translate business problems into scalable and robust software solutions, making sound trade-offs to drive meaningful business outcomes.
6. Experience working effectively across team and organizational boundaries, partnering with engineering, product, science, and operations stakeholders.
7. Strong communication and technical leadership skills, including driving alignment, leading initiatives from ideation through production,mentoring engineers, and influencing platform or system architecture.

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Principal Scientist - Marketplace

Data Scientist, Data Science

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The Principal Scientist role supports Uber Marketplace by optimizing the engine that manages Driver Pricing and Incentives. This means building and deploying the economic models that balance driver earnings, marketplace efficiency, and rider affordability in real-time across thousands of cities globally. The work involves deep causal inference, machine learning on massive, real-world datasets, and owning the core principles that define a healthy, liquid marketplace where you move the real world at enormous scale.

Success in this role requires not only generational technical depth but also the ability to drive high-stakes alignment on ambiguous problems with Director and VP-level leaders in Product, Engineering, and Operations. You will navigate constant trade-offs between short-term growth and long-term marketplace sustainability, demanding a deep trip obsessed mindset to simplify immense complexity. If you are ready to set the technical direction for one of Uber's most critical and high-impact product areas, this is where you will grow with the challenge.

What You’ll Do

• Define the long-term science roadmap for Driver Pricing, matching, and Incentives, translating ambiguous business problems into rigorous, implementable economic and machine learning solutions that drive step-change improvements.
• Design and lead the implementation of complex causal inference and large-scale experimentation (A/B testing) frameworks to measure the true, long-term impact of pricing and incentive policy changes on both driver behavior and overall marketplace health.
• Drive excellence and rigor in science methodologies, leveraging techniques such as machine learning, experimentation, causal inference, time series analysis, and natural language processing to address complex marketplace challenges.
• Build critical, cross-functional alignment with senior Product, Engineering, and Operations leaders, using deep data-driven narratives to advocate for, influence the roadmap of, and secure resources for multi-quarter, multi-team initiatives.
• Act as the organization's technical authority on marketplace dynamics, providing authoritative guidance on model architecture, elevating the science bar across the domain, and mentoring Staff and Senior Data Scientists.
• Unblock critical, large-scale system bottlenecks by investigating and solving data quality, model drift, and real-time performance issues, often requiring deep dives into engineering architecture and production systems.

How you’ll spend your time

• 40% Strategic Research & Model Design (Deep work, defining technical direction)
• 30% Cross-functional Leadership & Alignment (Stakeholder reviews, presenting and influencing)
• 20% Mentorship & Technical Review (Design reviews, guiding team members)
• 10% Production Debugging & Incident Response (Unblocking major, high-stakes issues)

What You’ll Need

• 15+ years of demonstrable experience as an Individual Contributor (IC) in a Data Science, Applied Science, or Quantitative Research role at a high-scale technology company.
• Ph.D. degree in a quantitative field such as Computer Science, Operation Research, Math, Statistics, or Economics; OR 18+ years of relevant experience in lieu of a Ph.D.
• 8+ years of experience directly designing, deploying, and owning real-time machine learning or economic policy systems that govern multi-sided marketplaces or high-volume transactional platforms.
• Demonstrated proficiency in advanced causal inference, large-scale experimentation design (A/B testing), and model development using Python, R, and advanced SQL.

Bonus Points If

• Proven ability to mentor senior and staff-level Scientists, raising the overall technical capability and systems thinking rigor across multiple teams, even without direct reporting lines.
• Deep practical experience navigating technical debt and legacy systems while driving simultaneous, net-new development in a fast-paced environment, reflecting high adaptability.
• Exceptional track record of influencing executive-level product and business leaders through clear, concise, and non-jargon-heavy storytelling, demonstrating strong person orientation/interpersonal influence.
• Experience with advanced economic modeling, optimization techniques (e.g., matching, routing), or other Operations Research techniques applied to real-world, high-stakes environments.

About the Team

The Uber Marketplace is designed to move riders & drivers efficiently from where they are to where they want to go. Every dollar that is transacted in the Uber Marketplace (driver forecasting, dynamic pricing fares, matching driver/rider pricing, and overall marketplace health) is informed and influenced by data – and our Data Science team understands, analyzes, and helps design the algorithms that enable millions of earners and consumers to ride, deliver, eat, and move daily.

Uber operates in a constantly-evolving and competitive environment, across a diverse set of markets and product categories. Assessing the success or failure of a product or investment strategy depends on deeply understanding this context and quantifying the impact with thoughtfully-defined success metrics. Doing this - and doing it well - at Uber’s global scale is an interesting and complex problem with meaningful impact on our P&L. The Marketplace Data Science team applies their expertise in statistical modeling, machine learning, economics, data analysis, and business strategy to build scalable data platforms, generate actionable insights, and drive our algorithm and product development decisions.

For San Francisco, CA-based roles: The base salary range for this role is USD$288,000 per year - USD$320,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$288,000 per year - USD$320,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>The fares platform team powers the fares for all of Uber - that’s all riders, earners and eaters across the Uber and Uber Eats app. With $190B+ in gross bookings processed by the fares platform annually, we solve high impact problems that are critical to Uber’s success.</p>
<p>As a Scientist on this team, you will leverage experiment design, exploratory data analysis, causal inference and model development to solve a wide variety of problems in domains like pricing, policy design, optimization and defect reduction.</p>
<p><strong>What the Candidate Will Need / Bonus Points</strong></p>
<p><strong>What the Candidate Will Do:</strong></p>
<ol>
<li>Refine ambiguous questions and generate data backed hypotheses through a deep understanding of the data, systems, customers and business.</li>
<li>Use experiments and causal inference methods to validate the hypothesis and drive business goals critical to Uber’s success.</li>
<li>Act as a thought partner with cross-functional teams across various disciplines, including product, engineering, and operations, to drive product strategy. Influence the product roadmap for fares and several cross-organizational teams.</li>
<li>Build ML models to solve complex problems and create AI agents to automate data science workflows.</li>
<li>Communicate findings clearly to technical and non-technical leadership to influence decisions and product direction.</li>
</ol>
<p><strong>Basic

Qualifications

</strong></p>
<ol>
<li>Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Computer Science, or other quantitative fields.</li>
<li>Minimum 5 years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).</li>
<li>Experience with experiment design, exploratory data analysis, causal inference and model development.</li>
<li>Proficient in both a data ETL language (e.g. SQL) and a scripting language (e.g. Python, R).</li>
</ol>
<p><strong>Preferred

Qualifications

</strong></p>
<ol>
<li>Minimum 7 years of industry experience as an Applied or Data Scientist or equivalent.</li>
<li>Experience using statistical methodologies in platform, marketplace or consumer domains.</li>
<li>Demonstrated ability to leverage data and systems thinking for storytelling and root cause analysis.</li>
<li>Excellent communication

skills

able to lead initiatives across multiple product areas and communicate findings with leadership.</li>
</ol>
<p>For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.</p>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.</p>
<p>For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Staff Scientist - Competitive Intelligence

Data Scientist, Data Science

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The Global Intelligence team is at the forefront of shaping Uber’s competitive strategy through data-driven insights. We leverage external and internal data to evaluate Uber’s performance within a rapidly evolving landscape of competitors, market dynamics, and product innovations. Understanding success in this complex environment requires rigorous analytical frameworks, innovative methodologies, and scalable data solutions.

We are seeking an experienced candidate with a passion for tackling highly ambiguous, high-impact problems using data. You will tackle highly ambiguous, high-impact problems, applying your expertise in statistical modeling, machine learning, causal inference, and economics to uncover insights that shape critical business and product decisions. Beyond analysis, you will architect scalable data products, mentor other scientists, and collaborate cross-functionally to embed competitive intelligence into Uber’s decision-making at the highest levels.

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

1. Leverage advanced analytical methods—including statistical modeling, causal inference, funnel analysis, and deep-dive analytics—to uncover Uber’s largest opportunities in a competitive landscape and drive high-impact business decisions.
2. Translate complex analyses into actionable insights and present findings to business leaders, executives, and cross-functional partners to shape strategy.
3. Collaborate with Product, Operations, and Engineering teams to define and execute a roadmap of high-impact initiatives, ensuring competitive intelligence is deeply integrated into Uber’s decision-making.
4. Provide technical mentorship and thought leadership, elevating the team’s analytical rigor and advancing best practices in statistical and ML methodologies.

Basic Qualifications

1. Ph.D., M.S., or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or a related quantitative field.
2. 6+ years of industry experience as an Applied Scientist, Data Scientist, or equivalent role.
3. Strong foundation in statistical methods and modeling, including experimental design (e.g., A/B testing) and causal inference.
4. Proficiency in SQL, along with experience coding in Python or R for data analysis and modeling.
5. Proven ability to extract insights from data, translate complex analyses into actionable takeaways, and drive strategic decision-making.
6. Exceptional communication skills, with the ability to present findings effectively to technical, non-technical, and executive audiences.

Preferred Qualifications

1. Experience in competitive intelligence, external data analysis, or strategic analytics.
2. Advanced expertise in experimental design and causal inference, including observational studies and quasi-experimental methods.
3. Hands-on experience working with messy, incomplete, and noisy data to extract insights and drive business impact.
4. Proven ability to collaborate with senior stakeholders (Director+), influencing strategy and decision-making with data-driven insights.
5. Strong judgment, critical thinking, and decision-making skills, with the ability to navigate ambiguity and prioritize effectively in a fast-paced environment.

For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Applied Scientist II

Data Scientist, Data Science

New York, New York |

San Francisco, California

Full Time

Apply Now

About the Role

We are looking for an Applied Scientist to join our team to solve interesting and impactful business problems in the domain of marketing analytics and ad tech. Ideal candidates need to have strong curiosity on data, and demonstrable ability to successfully apply rigorous scientific methods with proficiency in data analytics knowledge and technical capabilities. This is a unique opportunity to apply your skills and have a direct impact on global business.

What the Candidate Will Do

1. Strong expertise in experimentation design and causal inference methodology, accountable for the end-to-end Paid channel incrementality and optimization testings
2. Build production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, and optimization modeling etc
3. Use models to address key growth challenges and provide meaningful insights on problems in Channel Optimization including user value modeling, bidding optimization, targeting optimization etc
4. Work with cross-functional teams to implement and deploy models and improve analytical solutions by providing data-driven recommendations.
5. Use large scale data processing such as Spark, Hive, and Uber’s proprietary machine learning platform, and more
6. Collaborate with marketing leadership, product and engineering teams. Participate in project planning/prioritization meetings, partner meetings, data prioritization meetings, etc

---- Basic Qualifications ----

1. Master’s degree in Statistics, Operations Research, Math, or another quantitative field.
2. Relevant experience in machine learning, optimization and advanced analytics
3. Expertise with Python
4. Advanced SQL skills - comfortable working with very large data sets

---- Preferred Qualifications ----

1. Experience with big data using technologies like Hadoop, Hive, and Spark a plus
2. Previous experience in advertising tech (e.g. market response modeling, forecasting, attribution, targeting, 3rd party data integration, and etc) is a plus
3. Great communication skills, organized, able to multitask, and be a great teammate
4. Ability to balance attention to detail with swift execution
5. Hunger and drive to learn complex topics

For New York, NY-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Scientist II, Delivery (Multiple Teams)

Data Scientist, Data Science

New York, New York |

San Francisco, California

Full Time

Apply Now

About the Role

Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Delivery team, which owns all aspects of our delivery experience - from eaters, couriers to merchants!

We are looking for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to utilize your strong quantitative skills to improve the Uber delivery experience as well as the overall marketplace performance.

About the Team (We are hiring for multiple teams)

We are building the most preferred online delivery platform globally and driving innovation across a number of areas including:

• Fulfillment: Delivery is the core of our product. We carefully refine a living and breathing marketplace to balance long run outcomes with the everyday experiences of our customers and couriers.
• Consumer: We help users all over the world find what they need on UberEats. To do so we build state of the art recommendation systems and novel user experiences to help users discover the selection around them.
• Ads: Ads is one of the fastest growing lines of businesses at Uber. We work on end-to-end experience across lines of business, from enrolling advertisers, to designing auction and bidding, and integrating ads into the user experience.
• Offer: We optimize merchant offers, by identifying the optimal selection to make the platform affordable to consumers, by innovating on pricing models to align incentives, and by maximizing return for merchants through targeting.
• Merchant: Dedicated to optimizing merchant experience and driving merchant success at every stage of their lifecycle. We drive strategic and product decisions that expand merchant selections and maximize the value merchants bring to our marketplace.

What You’ll Do

• Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and Causal Inference.
• Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.
• Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
• Design and analyze experiments, present results that provide actionable recommendations.
• Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
• Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.
• Owning the product development cycle end-to-end from data and science aspects.

Basic Qualifications

• Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent).
• Strong Python or R foundations and expertise.
• Knowledge of underlying mathematical foundations of statistics, optimization, economics, and analytics. Experience in experimental design and analysis.

Preferred Qualifications

• Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
• Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
• Excellent communication skills across technical, non-technical, and executive audiences.

For New York, NY-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Applied Scientist – AI Red Teaming & Model Risk

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

As AI systems—particularly LLMs and agentic AI—become core to our products and internal platforms, understanding how these systems fail is just as important as improving their performance. We are looking for a Senior Applied Scientist to join our AI Red Teaming efforts and focus on adversarial evaluation, failure analysis, and risk discovery in AI models and AI agents.

In this role, you will systematically probe AI systems to uncover unsafe, unintended, or harmful behaviors, including prompt injection, jailbreaks, behavioral drift, tool misuse, and context or memory poisoning. You will design experiments, build evaluation frameworks, and analyze outcomes to surface risks that traditional ML metrics do not capture.

This role is ideal for a data scientist who enjoys working at the edge of model behavior, cares deeply about safety and robustness, and wants to apply scientific rigor to securing real-world AI systems.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Design and execute AI red-teaming experiments against LLMs and AI agents to identify: prompt injection (direct & indirect), jailbreaking and policy bypass, model and tool poisoning, context and memory poisoning, behavioral drift and unsafe autonomy
2. Develop adversarial datasets, probes, and test harnesses to systematically evaluate model and agent behavior under attack.
3. Define and track AI risk metrics beyond accuracy (e.g., failure rates, drift indicators, unsafe action likelihood, confidence miscalibration).
4. Analyze agent workflows and decision traces to understand how failures emerge across multi-step reasoning and tool use.\
5. Collaborate with security engineers and AI platform teams to translate findings into guardrails, mitigations, and design improvements.
6. Build reusable evaluation pipelines to support continuous red teaming and regression testing as models and agents evolve.

---- Basic Qualifications ----

1. 5+ years of experience as a Data Scientist, Applied Scientist, or ML Scientist.
2. Hands-on experience working with LLMs or generative AI systems.
3. Direct experience with AI red teaming, model safety, or adversarial evaluation.
4. Direct experience with prompt injection, jailbreaks, and LLM failure modes.
5. Strong background in experimental design, evaluation, and statistical analysis.
6. Experience analyzing complex model behavior and failure cases beyond standard metrics.
7. Proficiency in Python and common DS/ML tooling.

---- Preferred Qualifications ----

1. Experience evaluating agentic systems, including tool use, memory, or multi-step workflows.
2. Knowledge of GenAI architectures (transformers, embeddings, RAG, agent frameworks).
3. Experience building custom evaluation datasets or simulation environments.
4. Background or strong interest in security, privacy, or trust & safety.
5. Familiarity with AI evaluation tools (e.g., custom judges, LLM-as-judge, simulation frameworks).

For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>End-to-end product development from a data, analytics, modeling, and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments.</p>
<h4><strong>About the Team(We are hiring for multiple teams)</strong></h4>
<p>We are building the future of Uber's mobility and logistics platforms. Our teams drive innovation across critical areas, including:</p>
<ul>
<li><strong>Delivery Marketplace</strong>: A central pillar of Uber’s delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B — from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We’re responsible for running an efficient marketplace with dispatch & pricing decisions.</li>
<li><strong>Maps</strong>: Building the geospatial technologies for all of Uber, including travel time prediction (ETA), routing, search & ranking, pickup & dropoff recommendation, and trip intelligence. The outputs power marketplace systems like pricing & matching and the core trip experience.</li>
<li><strong>Uber One Membership</strong>: Enhancing user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform.</li>
<li><strong>Experimentation Platform</strong>: Building the experimentation platform and the underlying measurement models at Uber, providing reliable, trustworthy and agile experimentation and experiment analysis to power business decisions across the entire Uber ecosystem.</li>
<li><strong>Autonomous Mobility & Delivery (AM&D)</strong>: Pioneering the integration of autonomous vehicles into the existing ecosystem, tackling the complex challenge of building a reliable, efficient, and scalable hybrid marketplace for both Rides and Eats.</li>
</ul>
<p><strong>What You’ll Do</strong></p>
<ul>
<li>Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and Causal Inference.</li>
<li>Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.</li>
<li>Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.</li>
<li>Design and analyze experiments, present results that provide actionable recommendations.</li>
<li>Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.</li>
<li>Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.</li>
<li>Owning the product development cycle end-to-end from data and science aspects.</li>
</ul>
<p><strong>Basic Qualifications</strong></p>
<ul>
<li>Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.</li>
<li>4+ years of industry experience as an Applied or Data Scientist or equivalent (or 2+ years with Ph.D.).</li>
<li>Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)</li>
<li>Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models</li>
<li>Coding and SQL proficiency, and ability to develop statistical analysis and algorithm prototyping in Python or R.</li>
<li>Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators</li>
</ul>
<p><strong>Preferred Qualifications</strong></p>
<ul>
<li>Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields.</li>
<li>Excellent communication and collaboration

skills

Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams</li>
<li>Experience in leading key technical projects and substantially influencing the scope and output of others</li>
<li>Thought leadership to drive multi-functional projects from concept to production.</li>
<li>Experience in large-scale marketplace algorithm design, membership/consumer growth, or experimentation platform.</li>
<li>Experience with exploratory data analysis, statistical analysis and model development</li>
<li>Strong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala</li>
</ul>
<p>For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.</p>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

<p><strong>About the Role</strong></p>
<p>End-to-end product development from data analytics, modeling and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments.</p>
<h4><strong>We are hiring for multiple teams</strong></h4>
<p>We are building the future of Uber's mobility and logistics platforms. Our teams drive innovation across critical areas including:</p>
<ul>
<li><strong>Delivery Marketplace</strong>: A central pillar of Uber’s delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B — from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We’re responsible for running an efficient marketplace with dispatch & pricing decisions.</li>
<li><strong>Maps</strong>: Building the geospatial technologies for all of Uber, including travel time prediction (ETA), routing, search & ranking, pickup & dropoff recommendation, and trip intelligence. The outputs power marketplace systems like pricing & matching and the core trip experience.</li>
<li><strong>Uber One Membership</strong>: Enhancing user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform.</li>
<li><strong>Experimentation Platform</strong>: Building the experimentation platform and the underlying measurement models at Uber, providing reliable, trustworthy and agile experimentation and experiment analysis to power business decisions across the entire Uber ecosystem.</li>
<li><strong>Autonomous Mobility & Delivery (AM&D)</strong>: Pioneering the integration of autonomous vehicles into the existing ecosystem, tackling the complex challenge of building a reliable, efficient, and scalable hybrid marketplace for both Rides and Eats.</li>
</ul>
<p><strong>What You’ll Do</strong></p>
<ul>
<li>Solve ambiguous, challenging business problems using data-driven approaches including ML, Optimization, Causal Inference.</li>
<li>Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.</li>
<li>Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.</li>
<li>Design and analyze experiments, present results that provide actionable recommendations.</li>
<li>Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.</li>
<li>Define how our teams measure success, by developing metrics, in close partnership with cross functional partners.</li>
<li>Owning the product development cycle end to end from data and science aspects.</li>
</ul>
<p><strong>Basic Qualifications</strong></p>
<ul>
<li>Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.</li>
<li>2+ years of industry experience as an Applied or Data Scientist or equivalent (not required with Ph.D.).</li>
<li>Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)</li>
<li>Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models</li>
<li>Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.</li>
<li>Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators</li>
</ul>
<p><strong>Preferred Qualfications</strong></p>
<ul>
<li>Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields.</li>
<li>Excellent communication and collaboration

skills

Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams</li>
<li>Experience in leading key technical projects and substantially influencing the scope and output of others</li>
<li>Thought leadership to drive multi-functional projects from concept to production.</li>
<li>Experience in large-scale marketplace algorithm design, membership / consumer growth, or experimentation platform.</li>
<li>Experience with exploratory data analysis, statistical analysis and model development</li>
<li>Strong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala</li>
</ul>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Staff Scientist, Mobility Matching

Data Scientist, Data Science

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Have you ever wondered why it’s taking so long for an earner to be matched to your trip, why the ETA is so long, or how an Earner is picked from the many around you? If so, the Mobility Matching Science team is for you!

The Matching team at Uber builds the systems that determine the optimal way to fulfill trips on the Mobility platform. We work on the problems of determining which earners to send an offer to and when. The solutions we build are critical for maintaining reliability and ensuring the trust of riders and earners alike.

We are looking for experienced scientists who relish the opportunity to develop novel approaches and apply them at Uber’s scale. They ideally have a good balance of causal inference, analysis, experimentation, and modeling knowledge, as well as, an ability to use these skills to identify business opportunities and deliver product recommendations.

What You'll Do

• Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
• Design and analyze experiments, communicating results that draw detailed and actionable conclusions
• Analyze and contribute to development of optimization algos and ML models for use in mobility matching
• Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product

Basic Qualifications

• Ph.D., or M.S. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field.
• Minimum 5 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
• Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics.
• Proven experience in experimental design (e.g., A/B testing) and causal inference.
• Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.

Preferred Qualifications

• 6+ years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
• Ph.D. in a relevant quantitative field.
• Deep expertise in areas such as marketplace experimentation, causal inference, ML, or optimization, particularly in the context of multi-sided platforms, incentive systems, or logistics.
• Proficiency in SQL.
• Experience in algorithm development and prototyping, and with productionizing algorithms for real-time systems.
• Demonstrated ability to translate complex analytical results into clear, actionable insights and influence product and business strategy.
• Excellent communication and presentation skills, with the ability to articulate technical concepts to diverse audiences, including senior leadership.
• Experience leading technical projects and influencing the scope and direction of research.
• Familiarity with big data technologies (e.g., Spark, Hive, HDFS).
• Strong business acumen and the ability to shape vague questions into well-defined analytical problems and success metrics.

For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Data Scientist II, Identity

Data Scientist, Data Science

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

We are looking for a Data Scientist to join our Identity Science team and apply a data-driven approach to scope and launch products within the Identity space. In this role, you will work to ensure seamless and secure signup and login, account management, and account linking flows for users, and use technical and business skills to drive Identity strategy across Uber.

You will work with product managers, engineers and fellow scientists to shape the direction of a variety of areas within Identity. You will work on fast-moving, high-stakes problems reaching a global audience. A deep analytical passion and the ability to execute on key business priorities is a must for this role.

What the Candidate Will Need

---- What the Candidate Will Do ----

1. Develop and monitor strategic metrics and understand all underlying drivers.
2. Design and run experiments to analyze the impact of product changes.
3. Deep dive into data to evaluate proposed product changes and identify opportunities for improving the user experience.
4. Collaborate with product managers and other business leaders to make decisions based on data insights and experiment results.
5. Communicate your findings to cross functional peers and management.

---- Basic Qualifications ----

1. Bachelors or M.S. with a degree in Statistics, Economics, Computer Science, or other quantitative fields.
2. Advanced SQL expertise.
3. Experience using Python or R.
4. 3yrs+ experience in improving products, understanding the user journey and extracting insights from data.
5. Understanding of experimental design and using statistical methods in exploratory analysis.
6. Experience with dashboarding / data visualization (i.e. Google Data Studio, Tableau, Mixpanel or similar).
7. Ability to work in a self-guided manner.
8. Superb communication and organization skills.

---- Preferred Qualifications ----

1. Identity (signup / login / account management / account security) experience.
2. Proficient at defining, utilizing and communicating performance metrics.
3. Proven track record of applying analytical/statistical methods to solve real-world problems using big data.
4. Data engineering / pipeline creation experience.
5. 1yrs+ experience launching multiple experiments (such as A/B experiments).
6. Linear regression, causal inference, credibility-weighted estimates.

For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Scientist, Rider Pricing & Incentives

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Scientists at Uber use data to analyze, improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Pricing and Incentives team, which owns our automated real-time pricing and incentives algorithms and platform. You will work on analyzing data, creating new metrics, and design experiments which will help design the models and inform the strategies that maintain reliability and improve the efficiency of Uber’s Mobility marketplace.

We are looking for experienced candidates with a passion for analyzing data and solving new and difficult problems with a variety of tools. In this role, you will be able to use your strong quantitative skills and creativity in the fields of statistics, economics, data science, and software development to improve the Uber rider experience as well as the overall marketplace performance.

What the Candidate Will Do

• Use data to understand product performance and to identify improvement opportunities.
• Develop novel experimentation and/or measurement methodology for use in large-scale marketplace settings.
• Analyze data and build dashboards for monitoring of KPIs and market health
• Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
• Present findings to inform business decisions.
• Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.

Basic Qualifications

• Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
• 4+ years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).
• Experience in experimental design and analysis.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.
• Proficiency in Python/R and SQL.

Preferred Qualifications

• 6+ years of industry/tech experience in applied science, data science, economics, machine learning, and/or optimization roles.
• Experience in using Python to work efficiently at scale with large data sets.
• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
• Experience in algorithm development and prototyping.
• Experience in pricing optimization and/or marketplace design.
• Experience in designing large scale experiments in complex environments.
• Well-honed communication and presentation skills.

For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Scientist, Competitive Intelligence

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The Global Intelligence team works to understand the strategy and performance of Uber and other companies with similar products through a combination of external and internal data. Uber operates in a diverse array of markets and product categories filled with rapidly evolving competing options; assessing the success or failure of a product or strategy depends on understanding this context. Doing this, and doing it well, is an interesting and difficult problem. The team uses its expertise in data analysis, statistical modeling, economics, and business to build scalable data products.

We are looking for experienced candidates with a passion for solving new and difficult problems with data. You will build out and own competitive models/metrics, provide key insights, conduct deep dive analysis to understand new opportunities, and empower teams to make more informed business and strategy decisions with competitive intelligence.

What the Candidate Will Need / Bonus Points

• What the Candidate Will Do

• Use data to understand competitors’ performance and to identify improvement opportunities.

• Build statistical, optimization, and machine learning models for applications including pricing, targeting, and experimentation.
• Present findings to senior management to inform business decisions.

• Collaborate with cross-functional teams across disciplines such as product, engineering, and operations to drive competitor intelligence development end-to-end from ideation to productionization.

• Basic Qualifications

• Ph.D., M.S. or Bachelors's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If an M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as an Applied Scientist or equivalent).

• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
• Knowledge of experimental design and analysis.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.
• Ability to use Python to work efficiently at scale with large data sets.

• Proficiency in languages and tools like SQL, R, and Spark.

• Preferred Qualifications

• 5+ years of industry experience as an applied scientist or similar

• Experience in competitive intelligence.
• Experience in algorithm development and prototyping.
• Advanced knowledge of statistical methods, causal inference, and machine learning.
• Strong communication skills.
• Self-motivated with the ability to work independently.
• Ability to drive clarity on the best modeling or analytic solution for a business objective.
• Ability to work closely with cross-functional stakeholders to execute decisions.
• Ambition and enthusiasm to seek opportunities to build value.

For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr Data Scientist - Fraud/Risk

Data Scientist, Data Science

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

We’re looking for a Senior Data Scientist to join our Risk Decision Science team. In this role, you’ll apply a data-driven approach to identify, understand, and scope emerging fraud trends across the Uber platform.

As a Senior Data Scientist (L5), you will be a technical bar-raiser and a trusted domain expert for stakeholders. You won't just analyze data, you will lead critical initiatives in fraud detection and collaborate closely with cross-functional partners, including engineers, product managers, operations, and other data scientists.

You will be responsible for balancing complex trade-offs between fraud mitigation and user experience to drive key performance metrics like fraud losses and false positive rates. Success will require a strong blend of business and technical acumen, along with excellent communication and collaboration skills to work effectively with both internal and external stakeholders.

What You'll Do

1. Technical Leadership & Judgment: Apply effective techniques (ML, LLM, and experimentation) to solve a wide variety of new or existing business problems. You will be expected to make sound choices on measurement and metrics, depending on the problem and audience. Evolve our risk metrics, shape and influence our data models and instrumentation to generate insights and develop new data products and models.

2. Strategic Influence: Influence the cross-functional roadmap by providing insights and recommendations that go beyond analytical considerations. You will collaborate with Product, Engineer, Ops, and regional teams to develop long-term risk strategies.

3. Effective Communication: Tailor complex findings into compelling narratives for executive audiences. You will document logic and risks effectively to ensure the "why" behind your work is understood at a leadership level.

4. Operational Excellence: Consistently take effective prioritization calls to maximize business impact. Deliver impactful and meaningful strategies to mitigate fraudulent activities and achieve key results (OKRs)

5. Mentorship: Hold the bar for technical excellence by conducting peer reviews and helping junior analysts develop through meaningful feedback

6. Stay highly engaged and always hustle, as Uber Risk is a very fast-paced environment

Basic Qualifications

1. 5+ years in a data-focused role such as product analytics, business analytics, business operations, or data science

2. Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or other quantitative fields

3. Experience in framing ambiguous business problems into structured analytical work.

4. Experience in leading large cross-functional projects

5. Highly proficient in data science and visualization tools, such as SQL, Python, Tableau

6. Proficient at defining, utilizing, and communicating performance metrics.

7. proven track record of applying analytical/statistical methods to solve real-world problems using big data

8. Creative problem solving, critical thinking skills, and a get-things-done attitude

9. Hands-on, data-driven, and attentive to detail

Preferred Qualifications

1. Advanced degree in Mathematics, Statistics, Computer Science, Economics, or other quantitative fields

2. 3+ years in Risk/Fraud/Payments

3. Expertise in statistics and experimental design

4. Demonstrated ability to be an effective leader, producing high-quality work and crafting meaningful relationships

5. Team player -- this is a highly collaborative function that will work with a range of senior leaders

6. Outstanding communication and people skills -- numbers are key, but one should be able to explain the implications to an executive audience

7. Passion for Uber!

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Scientist II, Fares

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The fares platform team powers the fares for all of Uber - that’s all riders, earners and eaters across the Uber and Uber Eats app. With $190B+ in gross bookings processed by the fares platform annually, we solve high impact problems which are critical to Uber’s success.

As a Scientist on this team, you will leverage experiment design, exploratory data analysis, causal inference and model development to solve a wide variety of problems in domains like pricing, policy design, optimization and defect reduction.

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

1. Refine ambiguous questions and generate data backed hypotheses through a deep understanding of the data, systems, customers and business.
2. Use experiments and causal inference methods to validate the hypothesis and drive business goals critical to Uber’s success.
3. Act as a thought partner with cross-functional teams across various disciplines, including product, engineering, and operations, to drive product strategy. Influence the product roadmap for fares and several cross-organizational teams.
4. Build ML models to solve complex problems and create AI agents to automate data science workflows.
5. Communicate findings clearly to technical and non-technical leadership to influence decisions and product direction.

Basic Qualifications

1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Computer Science, or other quantitative fields.
2. 3+ years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).
3. Experience with experiment design, exploratory data analysis, causal inference and model development.
4. Proficient in both a data ETL language (e.g. SQL) and a scripting language (e.g. Python, R).

Preferred Qualifications

1. 5+ years of industry experience as an Applied or Data Scientist or equivalent.
2. Experience using statistical methodologies in platform, marketplace or consumer domains.
3. Demonstrated ability to leverage data and systems thinking for storytelling and root cause analysis.
4. Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership.

For New York, NY-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Scientist, Rider Personalization

Data Scientist, Data Science

in San Francisco, California

• Full Time

Apply Now

About the Role

The Rider team is the centerpiece of the Uber consumer experience, owning the core flagship app used by over 100M+ monthly active users.

The Personalization team is looking for a Senior Scientist who can help us innovate on our AIML efforts  and tackle the next frontier of challenges, including ranking & recommender systems, and agentic applications.

As a Scientist, you will play a critical role in enhancing the personalization AIML experience for millions of Rider app users worldwide. You will leverage your expertise in machine learning and data science to optimize our ranking & recommendation systems, help develop agentic applications, and simulate marketplace outcomes, ultimately improving user satisfaction and achieving business growth through one of the most impactful channels.

What You'll Do

• Prototype new models and methodologies (e.g. evidential deep learning, reinforcement learning, listwise ranking) for improving performance across the various personalization AI/ML surfaces of the rider app.
• Deep dive the data and optimize current ranking algorithms to enhance the relevance and accuracy of ranking results.
• Design experiments and offline simulations to measure the performance of AIML systems, including agentic applications, interpret the results, and make impactful recommendations for areas of development
• Work closely with product managers, engineers, and other scientists to define project goals and deliver data-driven solutions.
• Stay current with the latest advancements in personalization AIML
• Mentor and review the work of junior team members

Basic Qualifications

• M.S. or Bachelor's degree in Computer Science, Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
• 5+ years of industry experience as an Applied Scientist, Research Scientist, or equivalent.
• Proficiency in programming languages (Python, PySpark, SQL) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn),
• Strong business and product sense: ability to find business opportunities in AIML Systems and help define product and engineering roadmaps to capture these opportunities.

Preferred Qualifications

• Prior experience with feed ranking, recommender systems, or search algorithms
• Solid understanding of MLOps practices, including design documentation, testing, and source code management with Git.
• Advanced skills in the development and deployment of large-scale ML models and optimization algorithms

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr. Scientist - Mobility Matching

Data Scientist, Data Science

in San Francisco, California

• Full Time

Apply Now

About the Role

Have you ever wondered why it’s taking so long for an earner to be matched to your trip, why the ETA is so long, or how an Earner is picked from the many around you? If so, the Mobility Matching Science team is for you!

The Matching team at Uber builds the systems that determine the optimal way to fulfill trips on the Mobility platform. We work on the problems of determining which earners to send an offer to and when. The solutions we build are critical for maintaining reliability and ensuring the trust of riders and earners alike.

We are looking for experienced scientists who relish the opportunity to develop novel approaches and apply them at Uber’s scale. They ideally have a good balance of causal inference, analysis, experimentation, and modeling knowledge, as well as, an ability to use these skills to identify business opportunities and deliver product recommendations.

What You'll Do

• Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
• Design and analyze experiments, communicating results that draw detailed and actionable conclusions
• Analyze and contribute to development of optimization algos and ML models for use in mobility matching
• Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product

Basic Qualifications

• Ph.D. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field.
• Minimum 2 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
• Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics.
• Proven experience in experimental design (e.g., A/B testing) and causal inference.
• Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.

Preferred Qualifications

• Ph.D., or M.S. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field.
• Minimum 5 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
• Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics.
• Proven experience in experimental design (e.g., A/B testing) and causal inference.
• Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Applied Scientist II, Safety

Data Scientist, Data Science

in San Francisco, California

• Full Time

Apply Now

About the Team

We are looking for an Applied Scientist to join the Safety Science Team.

At Uber, Stand for Safety is one of our core values. In this role, you’ll have the amazing opportunity to help contribute to making the Uber platform as safe as possible by leveraging analytics and machine learning. You’ll have a chance to work with a highly cross-functional team, including product management, engineering, and operations to deliver impact.

This will include owning the end-to-end applied science workflow on high visibility projects such as problem scoping, deep-dive analysis to size up opportunities and to surface insights, developing models, and driving experimentation. You’ll be able to present findings to partners and leadership.

About the Role

1. Modeling & Production: Design, develop, and deliver sophisticated applied ML models from ideation to production, ensuring robustness and measurable safety impact.
2. Deep-Dive & Insights: Conduct complex, rigorous deep-dive analyses and causal inference to uncover root causes and identify high-leverage safety opportunities.
3. Experimentation: Own the design, analysis, and interpretation of A/B experiments to rigorously evaluate product and policy changes before platform rollout.

What the Candidate Will Need

---- What the Candidate Will Do ----

1. Modeling & Production: Design, develop, and deliver sophisticated applied ML models from ideation to production, ensuring robustness and measurable safety impact.
2. Deep-Dive & Insights: Conduct complex, rigorous deep-dive analyses and causal inference to uncover root causes and identify high-leverage safety opportunities.
3. Experimentation: Own the design, analysis, and interpretation of A/B experiments to rigorously evaluate product and policy changes before platform rollout.
4. Cross-Functional Influence: Partner closely with Product Managers, Engineers, and Policy teams to translate data-driven insights into critical product features and company-wide safety policies.

---- Basic Qualifications ----

1. Education: Ph.D., M.S. or Bachelor's degree in Computer Science, Statistics, Mathematics, Operations Research, or a related quantitative field, OR equivalent experience.
2. Experience: 3+ years (with Ph.D.) or 5+ years (with M.S. or B.S.) of industry experience building and deploying machine learning models or conducting high-impact applied data science in a large-scale production environment.
3. Technical Depth: Expert proficiency in core machine learning principles, including classification, regression, time series analysis, and causal inference.
4. Programming: High proficiency in at least one programming language (e.g., Python or Scala) and expertise in data manipulation using SQL.

---- Preferred Qualifications ----

1. Ph.D. in Computer Science, Statistics, Mathematics, Operations Research, Economics
2. Professional experience in safety, risk, or fraud
3. Hands-on experience with LLM including high scale production implementations

For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Scientist, Earner Experience

Data Scientist, Data Science

in New York, New York

• Full Time

Apply Now

About the Role

The Earner org is responsible for the products and programs that make earning through the Uber marketplace a rewarding experience. As a Scientist, you will leverage your expertise in economics, operations, machine learning, and statistical modeling to improve the efficiency of our platform and help direct the development of our products. This role will have a particular focus on offer decision making and preferences.

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

1. Use data to understand product performance and to identify improvement opportunities.
2. Develop novel experimentation and/or measurement methodology for use in large-scale marketplace settings.
3. Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
4. Present findings to inform business decisions.
5. Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.

Basic Qualifications

1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
2. Mininum 4 years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).
3. Experience in experimental design and analysis.
4. Experience with exploratory data analysis, statistical analysis and testing, and model development.
5. Proficiency in Python/R and SQL.

Preferred Qualifications

1. Minimum 6 years of industry/tech experience in applied science, data science, economics, machine learning, and/or optimization roles.
2. Experience in using Python to work efficiently at scale with large data sets.
3. Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
4. Experience in algorithm development and prototyping.
5. Experience in pricing optimization and/or marketplace design.
6. Experience in designing large scale experiments in complex environments.
7. Well-honed communication and presentation skills.

For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Scientist, Rider Experience

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California

Full Time

Apply Now

About the Role

Scientists at Uber use data to measure, analyze, and optimize all of Uber's products. On the Rider Experience Science team, you’ll have the opportunity to work on the core mobility business and influence the experience for millions of riders. We drive growth in the mobility business by understanding how riders use the app, delivering a seamless experience, and creating new personalized features.

The Science work we do is diverse and helps to drive every stage of product development. Our toolkit includes experimentation, product analytics, and ML modeling. You will collaborate with other scientists, product managers, and business teams to understand the challenges in our space, then tackle problems that no one else has solved yet.

Some of the key projects will include optimizing the rider conversion funnel, developing AI systems to understand metric trends, and running large scale experiments to improve the UX. In this role, you’ll have exposure to many of the teams within Uber and an opportunity to influence the strategy for a core pillar of Uber’s business.

What You'll Do

1. Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of data, our customers, and our business.
2. Design experiments and interpret the results to draw detailed and impactful conclusions that inform our decisions.
3. Define how our teams measure success by developing metrics in close partnership with cross functional partners and creating AI systems to understand metric movements.
4. Develop data-driven insights and work with cross-functional partners to identify opportunities to improve the long-term strategy and product roadmaps.
5. Collaborate with other Scientists and Engineers to build and improve data foundations.
6. Present findings to business and executive audiences.

Basic Qualifications

1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
2. Mininum 3 years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).
3. Experience in experimental design and analysis.
4. Experience with exploratory data analysis, statistical analysis and testing, and model development.
5. Proficiency in SQL and either Python or R.

Preferred Qualifications

1. Minnum 7 years of industry experience as a Data Scientist or equivalent.
2. Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
3. Experience collaborating with very senior stakeholders (Director+) and generating insights to shape strategy.
4. Experience using statistical methodologies in a marketplace context.
5. Experience guiding and mentoring other Data Scientists.

For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Scientist, Direct

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California |

Toronto, Canada

Full Time

Apply Now

About the Role

We’re hiring a Senior Scientist for the Uber Direct team—one of Uber’s fastest-growing and most dynamic business lines. Uber Direct enables merchants, enterprises, and consumers to get anything delivered, from retail returns and prescription deliveries to cross-country shipments. This role offers a rare opportunity to help define a new category of delivery beyond food and mobility, and to reimagine what on-demand logistics can look like at global scale.

In this role, you will serve as a thought partner to cross-functional leaders and help set the scientific strategy for building a healthy, efficient, and scalable three-sided marketplace. We are looking for a candidate with deep expertise in Economics, Operations Research, or a related quantitative field, and a strong passion for designing foundational marketplace systems that extend beyond existing food-delivery paradigms.

You will work closely with Product, Engineering, Operations, and fellow Scientists to develop a deep understanding of marketplace dynamics. You will design incentive mechanisms and build models and algorithms that power pricing, matching, batching, fulfillment efficiency, and other core systems. This role is highly influential, with direct impact on the evolution of Uber Direct’s marketplace architecture, ensuring that our products and decisions are grounded in rigorous scientific thinking.

What the Candidate Will Need / Bonus Points

What You Will Do

1. Leverage advanced analytical and quantitative techniques—including machine learning, statistical modeling, causal inference, funnel analysis, and deep-dive analytics—to build a best-in-class delivery experience for Uber’s Direct business.
2. Translate complex analyses into clear, actionable insights and effectively communicate findings to executives, business leaders, and cross-functional stakeholders to shape product and business strategy.
3. Collaborate closely with Product, Engineering, and Operations teams to define and drive a roadmap of high-impact initiatives, ensuring that marketplace design, pricing, and fulfillment strategies are informed by rigorous analysis and competitive intelligence.
4. Provide technical mentorship and thought leadership, raising the bar for scientific rigor, championing best practices in statistical and machine learning methodologies, and fostering a strong culture of data-driven decision-making.

Basic Qualifications

1. Ph.D., M.S., or Bachelor's degree in Economics, Operations Research, or a related quantitative field (e.g., Statistics, Applied Mathematics, Computer Science with a strong modeling focus).
2. Strong foundation in marketplace modeling and dynamics, including experimental design (e.g., A/B testing), causal inference, and optimization techniques.
3. Proficiency in SQL and experience using Python or R for data analysis, modeling, and prototyping.
4. Demonstrated ability to extract insights from complex datasets, distill them into actionable strategies, and influence product and business decisions.
5. Excellent written and verbal communication skills, with the ability to clearly explain technical concepts to cross-functional stakeholders and drive alignment across teams

Preferred Qualifications

1. Ph.D. with minual 5 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
2. Deep expertise in pricing, marketplace modeling, or optimization, particularly in the context of complex multi-sided platforms.
3. Advanced knowledge of experimental design and causal inference techniques, including observational studies and quasi-experimental methods.
4. Hands-on experience working with messy, incomplete, or noisy datasets to generate insights and drive real-world impact.
5. Proven ability to collaborate and influence senior stakeholders (Director level and above) through clear, data-driven recommendations.
6. Strong judgment and critical thinking skills, with a track record of navigating ambiguity, setting priorities, and making high-quality decisions in a fast-moving environment.

For Canada-based roles: The base salary range for this role is CAD$173,000 per year - CAD$192,000 per year.

For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Scientist II - Reservations

Data Scientist, Data Science

in Seattle, Washington

• Full Time

Apply Now

About the Role

The Reserve product is a maturing product, most of the “low hanging fruit” initiatives to improve the experience to consistently deliver high reliability have been delivered. Currently, our focus is in building smart levers to maintain reliability while driving efficiency, improving our unit economics and growing adoption and retention.

Some of the key projects involve major changes in Pricing, Matching and Dispatch that involve transitioning from heuristic based decision making to building machine learning models to make key decisions in real time, as well as important changes to Driver and Rider experience, including discoverability and awareness generation levers, and finally piloting new use cases that leverage the Reserve Tech as a platform to unlock new vectors of growth.

What You Will Do

1. Work together with Product, Operations, and Engineering partners to design a roadmap of features and initiatives as well as the long-term team strategy
2. Run large scale experiments, observational studies, deep dives into business and user behavior trends and present findings to technical and non-technical audiences

---- Basic Qualifications ----

1. Ph.D., M.S. or Bachelor's degree in Statistics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
2. 2+ years of industry experience as an Applied or Data Scientist or equivalent (not required with Ph.D.).
3. Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn), underpinned by a solid grasp of MLOps practices, including design documentation, testing, and source code management with Git.
4. Good understanding of experimental design and analysis (e.g., A/B and market-level experiments), causal inference.
5. Good business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.

---- Preferred Qualifications ----

1. Ability to drive clarity on the best analytic solution for a business objective
2. Expertise in causal inference, A/B testing designs, multivariate testing, and other advanced analytical methods.
3. Experience in designing highly scalable, resilient systems for customer-facing applications and familiarity with optimization techniques.
4. Propose, design, and analyze large scale online experiments and interpret the results to draw detailed and actionable conclusions.
5. Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization

For Seattle, WA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Scientist II, Airports and Travel

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Airports and Travel is one of the fastest growing segments of Uber. We focus on creating magical end-to-end experiences for Uber travelers - be it a short business trip, or a long vacation. We own all aspects of traveling user’s experience, from pricing and promos, to tailored experience at each airport, to unique in-app travel experiences. We are looking for a Data Scientist who can deep dive into data and produce insights that can guide the development of the next generation of products for Uber travelers.

You will be a thought leader who will work with product managers, engineers and fellow data scientists to shape the future of Uber travel products. You will work in a fast paced environment and use planet scale data to deliver planet scale impact. This role will need a deep understanding of data, strong communication skills, and solid knowledge of experimentation.

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

1. Solve open-ended and ambitious business problems using data (e.g. how can we increase Uber Eats usage for travelers by 50%? What is the biggest pain point that reduces Uber usage while traveling internationally?)
2. Develop data driven hypotheses, run experiments to test them, and communicate results to your stakeholders and business leaders to shape business strategy.
3. Define metrics that best measure business health, and monitor them to ensure strong execution.
4. Collaborate with cross-functional teams such as product, engineering and operations to drive a culture of data driven decision making.

Basic Qualifications

1. Bachelor's or M.S. degree in Economics, Operations Research, or a related quantitative field (e.g., Engineering, Applied Mathematics, Computer Science with a strong modeling focus).
2. Mininum 2 years experience in improving products, understanding the user journey and extracting user behavior insights from large datasets.
3. Proficiency with Python and SQL for exploratory data analysis and modeling.
4. Excellent analytical skills, with experience extracting user behavior insights from large datasets.
5. Foundational knowledge in at least one of the following areas: machine learning, statistics, optimization, causal inference, or economics.
6. Exceptional communication skills across technical, non-technical, and executive audiences.

Preferred Qualifications

1. Mininum 3 years of relevant industry experience as a Product Data Scientist, Applied Scientist, or equivalent.
2. Experience in statistical methods, causal inference from observational data, and choice modeling.
3. Experience in building data pipelines, designing metrics and tables, dashboards, etc.
4. Experienced in using AI to hypercharge productivity and delivering 10x impact.
5. Prior experience in rideshare or a related domain (marketplaces or gig economy etc.).

For New York, NY-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Scientist, Rider Personalization

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The Rider team is the centerpiece of the Uber consumer experience, owning the core flagship app used by over 100M+ monthly active users.

The Personalization team is looking for a Staff Scientist who can help us innovate on our AIML efforts and tackle the next frontier of challenges in ranking & recommender systems.

As a Scientist, you will leverage your machine learning expertise to transform our homescreen feed, help grow the cross-platform business, and ultimately improve user satisfaction through one of Uber's most impactful channels.

What the Candidate Will Need / Bonus Points

What You Will Do

1. Play a tech lead role in framing cross-line-of-business optimizations and architecting novel ML solutions
2. Prototype these solutions using Uber's internal ML model development tools
3. Influence and align engineering & product on the AIML roadmap for homescreen ranking
4. Help identify system-wide improvements to Uber Rider ranking and recommendations, including adoption of the latest technologies in ranking and recsys

Basic Qualifications

1. Strong background in designing ML systems for ranking and recommendation
2. Ability to set up multi-objective optimizations that trade off the needs of different lines of businesses
3. Comfortable with high degrees of complexity and ambiguity
4. Deep experience in large-scale consumer tech

Preferred Qualifications

1. Knowledge of latest innovations in ranking and recsys including transformer architecture
2. Understanding of consumer platform businesses

For New York, NY-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Data Scientist II

Data Scientist, Data Science

in San Francisco, California

• Full Time

Apply Now

About the Role

We're looking for a data scientist to join Uber’s Account Actioning Data Science team to provide data expertise to ensure that our policies on gaining and maintaining access to the Uber platform are transparent and fair. This will be a highly cross-functional role that will work closely with operations, engineering, product management, and partner data teams. You will build out and own product and operations metrics, provide key insights, conduct deep dive analysis to understand new opportunities and present findings, and work with cross-functional partners on coming up with new policy and product solutions while measuring impact. You will play an influential role in helping drive critical product and policy decisions.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Refine ambiguous questions and generate new hypotheses about the product and business through a deep understanding of the data, our customers, and our business.
2. Define how our teams measure success, by developing Key Performance Indicators and other user/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing.
3. Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
4. Develop data-driven business insights and work with cross-functional partners to identify opportunities and recommend prioritization of product, growth, and optimization initiatives.

---- Basic Qualifications ----

1. 3+ years proven experience in product analytics or ontological data modeling.
2. M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
3. Advanced SQL and Python expertise.
4. Basic understanding of experimental design (such as A/B experiments) and statistical methods.
5. Ability and experience in extracting insights from data, and summarizing learnings / takeaways.
6. Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar).
7. Excellent judgment, critical-thinking, and decision-making skills.
8. Balance attention to detail with swift execution.

---- Preferred Qualifications ----

1. Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative fields.
2. 4+ years industry experience in consumer facing product analytics.
3. Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story.
4. Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds.
5. Ability to solve complex business problems that cross multiple product/project areas and teams.

For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Scientist - Reservations

Data Scientist, Data Science

in Seattle, Washington

• Full Time

Apply Now

About the Role

The Reservations data science team owns the experience and algorithms powering the Uber Reserve Product in the Rider and Driver app. We optimize the user experience for both Riders and Drivers, matching, dispatch and pricing algorithms, as well as growth levers to deliver magical experiences and business value.

The Reserve product is moving from a nascent mvp product to a more mature product, we have delivered on most of the “low hanging fruit” initiatives to improve the experience, building levers to customize the product and handle edge cases to consistently deliver high reliability. Currently, our focus is shifting towards driving efficiency to improve our unit economics and to drive adoption and growth.

Some of the key projects involve major changes in Pricing, Matching and Dispatch that involve transitioning from heuristic based decision making to building machine learning models to make key decisions in real time, as well as important changes to Driver and Rider experience, including discoverability and awareness generation levers, and finally piloting new use cases that leverage the Reserve Tech as a platform to unlock new vectors of growth.

What You Will Do

1. Deploy a wide variety of methodologies, including causal inference techniques, funnel analyses, and econometric modeling to identify our largest business opportunities.
2. Work together with Product, Operations, and Engineering partners to design a roadmap of features and initiatives as well as the long-term team strategy.
3. Run large scale experiments to validate the impact of new features.
4. Present findings to business and executive audiences

---- Basic Qualifications ----

1. Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathemathics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
2. 6+ years of industry experience as an Applied or Data Scientist or equivalent.
3. Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn), underpinned by a solid grasp of MLOps practices, including design documentation, testing, and source code management with Git.
4. Agile project management capabilities, adept at using tools like JIRA, and a driven problem-solver with a passion for impacting the retail sector at scale.
5. Advanced skills in the development and deployment of large-scale ML models
6. Experience in experimental design and analysis (e.g., A/B and market-level experiments), causal inference.
7. Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.

---- Preferred Qualifications ----

1. Strong experience in causal inference, optimization, and machine learning
2. Experience in algorithm development and prototyping.
3. Ability to drive clarity on the best modeling or analytic solution for a business objective
4. Expertise in causal inference, A/B testing designs, multivariate testing, and other advanced analytical methods.
5. Experience in designing highly scalable, resilient systems for customer-facing applications and familiarity with optimization techniques.
6. Design, develop, productionize, and operate econometric models, experiments, and frameworks to assess challenging causal problems such as product incrementality and long-term value
7. Propose, design, and analyze large scale online experiments
8. Build statistical, optimization, and machine learning models for a range of applications.
9. Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
10. Knowledge of advertising targeting and measurement solutions, digital marketing analytics tools, and specific technologies such as GCP, BQ, and Elastic/SOLR/Vector Search.
11. Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization

For Seattle, WA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Data Scientist

Data Scientist, Data Science

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

We are looking for an exceptional Data Scientist with 3+ years of experience to help Uber’s internal and external applications, products and services to grow adoption, improve CSAT and reduce cost. You will leverage analytics, engineering, and machine learning, and data science to empower data-driven decision making in the full lifecycle of product development. You will be responsible for building this program from the ground up: partner with stakeholders, understand all aspects of the products, interact with cross-functional business and technical teams, predict risks, improve strategic decisions, and lead experimentation/growth projects.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
2. Define, measure, and analyze business metrics and product KPIs
3. Create tableau dashboards and the underlying data aggregations in GCP.
4. Conduct exploratory analysis to inform product strategy and evaluate recently released or existing products or features
5. Partner with multiple team members to make data-driven decisions across the organization by leveraging descriptive and predictive analytics
6. Work from the inception of a specified business problem identified by data to delivery of a solution, identify opportunities to fix or improve processes that make Uber better in the long term
7. Put together seemingly disparate pieces of data, build out the data pipeline and create interactive dashboards, provide comprehensive analytics support to partner teams, primarily through development of self-serve tools (such as Tableau and Looker)
8. Write queries, contribute to larger-scale products/projects and perform ad hoc analyses as needed, apply a diverse set of techniques including statistics, quantitative reasoning to help grow the business
9. Comfortable with working in fast-paced environments to find answers to critical questions with data and be decisive in an ambiguous situation
10. Determine and monitor essential metrics for product projects
11. Own, drive, and solve complex, cross-functional problems that extend beyond the traditional boundaries of product domains, analytics, and data science
12. Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written format

---- Basic Qualifications ----

1. 3+ years in quantitative/analytic role, preferably within tech
2. Experience in applying both data-backed heuristics and machine-learning techniques to solve practical product problems such as customer lifetime value models, funnel optimization.
3. 1+ years experience with BI Tools such as Tableau, MicroStrategy, Power BI or Looker
4. Expertise using data modeling skills to identify key product trends and new product opportunities
5. Ability to design implement, and track core metrics to analyze the performance of our products
6. SQL expert and a good understanding of databases, data relationships and data integrity
7. Demonstrated ability to think strategically about business, product, and technical challenges
8. Strong communication skills and customer empathy, capable of pushing for the best solution with tact
9. Strong problem solving skills and ability to translate ambiguous, unstructured problems into actionable data-driven analyses
10. Bachelor's degree in Computer Science, Mathematics, Statistics, or a related technical field
11. Excellent planning and project management skills

---- Preferred Qualifications ----

1. Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
2. Experience in a product-focused role at a social media and/or mobile technology company
3. Experience handling structured and unstructured data from internal and third-party sources
4. Experience with Python, Javascript, and R are plus
5. Strong communication and interpersonal skills
6. Exposure to Web Analytics such as Google Analytics, Adobe Analytics/Omniture, Heap Analytics
7. Experience with causal inference techniques, experimental design and/or A/B testing
8. Leveraging and integrating large language models (LLMs) to enhance analytics, automate workflows, and improve user interaction and decision support."

For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Scientist, Tech

Data Scientist, Data Science

Sunnyvale, California |

San Francisco, California |

New York, New York

Full Time

Apply Now

About the Role

Applied Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Trip Pricing team, which owns our automated real-time pricing algorithms and platform. You will work on designing and implementing pricing models that maintain reliability and improve the efficiency of Uber’s Mobility marketplace.

We are looking for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to use your strong quantitative skills in the fields of economics, machine learning, and/or operations research to improve the Uber rider experience as well as the overall marketplace performance.

What the Candidate Will Do

1. Build statistical, optimization, and machine learning models for a range of applications in the pricing algorithms space.
2. Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
3. Use data to understand product performance and to identify improvement opportunities.
4. Present findings to senior management to inform business decisions.
5. Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.

Basic Qualifications

1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
2. 3+ years of industry experience as an Applied or Data Scientist or equivalent.
3. Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
4. Experience in experimental design and analysis.
5. Experience with exploratory data analysis, statistical analysis and testing, and model development.
6. Ability to use Python to work efficiently at scale with large data sets.
7. Proficiency in SQL.

Preferred Qualifications

1. 6+ years of industry experience.
2. Experience in algorithm development and prototyping.
3. Experience in pricing optimization.
4. Experience with productionizing algorithms for real-time systems.
5. Well-honed communication and presentation skills.

For New York, NY-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Scientist, Rider Booking Experience

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California

Full Time

Apply Now

About the Role

At Uber, our mission is to reimagine how the world moves for the better. As part of the Rider Booking Experience team, you’ll have the opportunity to work on the core mobility business and influence the experience for millions of riders. From optimizing AI Booking experiences to shaping executive-level strategy for the mobility product portfolio, your work will have a meaningful impact on the future direction of Uber. You’ll design experiments, develop models, and analyze user behavior to drive growth in the mobility business.

The data science work we do is diverse and helps to drive every stage of product development. Our toolkit includes experimentation, product analytics, and ML modeling. You will collaborate with other scientists, product managers, and business teams to understand the challenges in our space, then tackle problems that no one else has solved yet.

Some of the key projects will include evaluating AI booking agents, building targeting models for messaging in the app, and running large scale experiments to improve the UX. In this role, you’ll have exposure to many of the teams within Uber and an opportunity to influence the strategy for a core pillar of Uber’s business.

What You'll Do:

Drive Strategic Vision

1. Shape the vision for the mobility booking experience and translate the strategy into measurable goals, robust models, and scalable systems.
2. Propose and defend data-driven hypotheses in senior and executive reviews; shape long-term product direction with clear narratives and analysis.

Modeling, Metrics & Experimentation

1. Design and scale advanced machine learning and optimization systems to power steps in the booking flow.
2. Establish key success metrics and measurement frameworks for features and launches.
3. Incubate 0-to-1 solutions to evaluate and iterate on emerging AI user experiences.

Cross-Functional Leadership

1. Partner deeply with engineering, product, and operations to identify impactful opportunities and co-drive execution from inception to delivery.
2. Act as a scientific thought leader, mentoring junior scientists and influencing technical strategy across the organization.

Basic Qualifications

1. Ph.D. or equivalent experience in a quantitative field such as Economics, Statistics, Machine Learning, or Applied Mathematics.
2. Minumal 4 years of industry experience in Data Science, Applied Science, or related roles, with a proven record of driving product impact.
3. Deep expertise in SQL, Python, and statistical analysis.
4. Advanced knowledge of experimentation and causal inference methodologies.
5. Experience presenting to and influencing senior leadership and executives.

Preferred Qualifications

1. Minumal 7 years experience in fast-paced tech or marketplace environments; experience in AV mobility or delivery domains is a plus.
2. Proven experience building and deploying ML or optimization models in production.
3. Demonstrated leadership of large-scale, cross-functional technical initiatives.
4. Entrepreneurial experience launching new product lines, systems, or 0-to-1 initiatives.
5. Strong product and systems thinking, comfortable making trade-offs between ideal science and product reality.
6. Strong communication, storytelling, and influencing skills.

For New York, NY-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now