At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Our Commerce Data Science team works with a broad range of collaborators and stakeholders, including Product, Engineering, and Finance, to inform commerce strategy and data-informed decision-making through analysis, metrics research, experimentation, causal inference, and modeling, but also through exceptional judgment, partnership, and business acumen. 

As part of our investment in next-generation commerce and identity capabilities, the Identity team is responsible for building a unified, individual-level identity platform that will serve as the core foundation for future product experiences. This cross-functional, cross-domain effort will reshape how we understand our users and how identity signals are captured, connected, and used across the Netflix ecosystem. Our mission is to deliver a more consistent, accurate, and personalized experience for every individual who interacts with Netflix. We are hiring founding data scientists to help define this space from the ground up and develop the scientific frameworks that will power new commerce experiences at global scale.

As a Data Scientist, you will join a team of other stunning Data Scientists, Analytics Engineers, Machine Learning Scientists, and Research Engineers. You will use data to identify opportunities and help shape product decisions. 

In this role, you will:

• Effectively identify and leverage experimentation and other analysis techniques, as appropriate, to solve business problems
• Be a strategic thought partner with commerce, product, engineering, analysts, data engineering etc
• Influence decision-making through data-driven insights and recommendations
• Proactively identify and perform data exploration to inform future product directions
• Prioritize competing demands toward the most impactful items
• Develop and validate the appropriate metrics to measure success in a given product area
• Contribute to the excellence of experimentation methodology within the Netflix data science community
• Live Netflix values while bringing a new perspective to continue improving our culture

To be successful in this role, you have:

• An advanced degree (Masters or PhD) in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field
• Strong statistical skills such as regression and A/B testing experimentation
• Strong data manipulation and quantitative programming skills in SQL and Python or R
• Experience designing experiments and familiarity with observational causal inference methodologies
• Exceptional communication with technical and non-technical audiences
• Willingness to learn and rapidly absorb business context
• Comfort with ambiguity; ability to thrive with minimal oversight and process

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

We are in the midst of major transformative developments for the Netflix product with the launch of an Advertising supported plan, Games and Live content. These new products, alongside our streaming service, have resulted in significant increases in the complexity and breadth of our internal data ecosystem. We manage one of the largest paid subscription businesses and are committed to handling our members’ data with a high degree of care towards appropriate use as well as compliance with local privacy laws and regulations in the 190+ countries where we operate.

The Privacy and Legal Data Engineering pod builds scalable data management and extraction frameworks which are at the core of our ability to hold ourselves to the highest data privacy and hygiene standards in the industry.

We are looking for a Data Engineer to help augment our ability to build these robust, scalable privacy centric data frameworks. As part of this team, you will work on diverse data technologies such as Spark, Presto, Flink, Kafka and others to build insightful, scalable and robust data pipelines; write ETL jobs to collect and aggregate data; and build high quality data frameworks that enable appropriate handling of customer personal data.

The ideal candidate will bring a strong track record of having built data systems and frameworks to strengthen the privacy posture at large consumer businesses. They will have a deep background in distributed data processing and share our passion for continuously improving the ways we handle data to make Netflix's data privacy posture better.

Who you are:

• Passionate about consumer centric data privacy and risk mitigation for the business
• Highly proficient in at least one of Java, Python or Scala with at least 8 years of software/data engineering experience
• Proficient in advanced SQL and effective in a complex data environment
• Highly experienced in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large scale data sets
• Comfortable working cross functionally with multiple types of stakeholders groups
• Able to successfully lead large, complex systems design and implementation challenges independently

What you will do:

• Design and implement elegant frameworks to scalably meet various internal and consumer facing data privacy and legal needs
• Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data
• Develop a deep understanding of the data ecosystem at Netflix from a privacy lens
• Partner with the privacy engineering teams to understand product goals and provide data which enables us to respond to customer and regulatory data requests
• Mentor and inspire teammates while elevating the impact of the team
• Enable Netflix to effectively manage legal and regulatory risk and compliance while maintaining a high standard of consumer data privacy expectations

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $380,000.00 - $610,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

At Netflix, delivering an unparalleled entertainment experience to millions of members worldwide relies on a robust, scalable global content delivery network—Open Connect. As a Data Center Deployment Engineer, you’ll ensure that our 100+ edge data centers are deployed, upgraded, and prepared to meet the growing demands of our expanding service, enabling seamless video streaming, cloud gaming, and live experiences. You’ll collaborate with network architects, engineers, provisioners, capacity planners, logisticians, and others, fostering a culture of continuous learning and innovation.

In this role, you’ll manage multiple concurrent deployments while driving process improvements to ensure capacity is available ahead of demand. You’ll plan, document, and oversee complex data center builds, deployments, and upgrades. Managing global 'remote hands' vendors, you will provide detailed instructions and proactively address challenges. A key part of your role will be ensuring consistency across the team, and aligning practices to maintain high standards. You'll also enhance efficiency by sharing lessons learned and identifying opportunities for automation and simplification.

Learn more about the unique Netflix culture and the opportunity by reading up on our culture and long-term view. 

What You’ll Be Doing

• Project manage the design, planning, deployment, and refreshing of network and content serving infrastructure at new and existing Open Connect data center points of presence.
• Collaborate with cross-functional teams and external vendors to orchestrate deployments, deliver capacity, and develop project scopes while ensuring availability and performance.
• Produce and maintain comprehensive documentation, including rack elevations, power consumption, cabling, run books, and handover documents, capturing all details for planned, installed, and as-built stages of deployments.
• Create a bill of materials for each project, ensuring all necessary items —including structured cabling, optics, and network gear —are available on-site before rack-and-stack. Order non-stock items as needed and recommend materials for regular stocking to support efficient future deployments.
• Manage remote hands vendors, providing clear scopes of work and ensuring adherence to SLAs, performance standards, and seamless execution, onboarding new vendors when necessary.
• Collaborate with infrastructure, operations, and architecture teams to develop long-term solutions that enhance network infrastructure and support future growth.
• Identify and drive improvements in our internally developed management tools and automation processes.
• Lead complex network upgrades and migrations, ensuring coordination and clear communication throughout.
• Troubleshoot and resolve networking, power, cooling, and fiber issues in data centers.
• Provide mentorship and technical leadership to deployment team members and stakeholders.
• Gain a comprehensive understanding of Open Connect Appliance functionality and its integration with network roadmaps.

What’s Required

• Proven project management experience with a creative, problem-solving approach.
• Ability to improve processes and workflows, foster collaboration, and encourage team performance through effective communication and strong interpersonal skills.
• Strong verbal, written, and presentation skills to communicate with both technical and non-technical audiences.
• Flexibility to manage multiple projects and adapt to changing priorities across a global footprint — with nearly half of our deployments in Africa, Asia, and Europe — requires collaboration across time zones and off-hour work to support global IX operations.
• Meticulous attention to detail, strong organizational skills, and excellent problem-solving abilities.
• Expertise in networking concepts and protocols, including routing, switching, DWDM, and fiber optics.
• Layer 1 knowledge, including patch panels, fiber optic connectors, optic types, and form factors (e.g., LC, SC, MTP, CFP2, QSFP, SFP+).
• Deep understanding of power standards, including kW power/heat load, voltage, amperage, and applications of single-phase, three-phase, and DC systems.
• 5+ years of experience in Edge Networks and Data Centers as a Deployment Engineer or similar role.
• Experience configuring and troubleshooting server and network hardware—both hands-on and remotely—including installation, firmware updates, IP addressing, and other operational settings.
• Contribute to the team's success by offering mentorship and technical support to peers and stakeholders, while actively seeking guidance and learning opportunities to deepen expertise and strengthen team dynamics.
• Proven ability to manage and work with remote vendors globally.
• Willingness to travel for quarterly off-sites/on-sites, team syncs, and occasional project site visits, including overnight stays.

How to Stand Out

• Expertise in system administration, scripting, automation, and optimizing OS/Network performance.
• Experience designing and prototyping structured cabling.
• Experience developing remote hands vendor scorecards and metrics.
• Extensive experience deploying DWDM platforms and a solid working knowledge of high-power optics and attenuation.
• Experience in web-scale, cloud networking, and hybrid environments.
• Budget management skills and experience with financial planning for cost-effective deployments.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $212,000.00 - $342,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Netflix Infrastructure Engineering organization drives business growth and innovation through a robust platform essential to Netflix's scale and operations. We minimize time spent on undifferentiated heavy lifting, streamlining developer workflows and reducing toil. This allows our engineers to concentrate on what truly matters: helping Netflix entertain the world.

The Opportunity

We are seeking a Product Manager to help shape the future of our cloud infrastructure product portfolio. Cloud Infrastructure serves as the backbone for Netflix's growing scale and engineering productivity, representing a critical strategic capability spanning compute, networking, storage, infrastructure management, performance engineering, and platform services. It enables engineering velocity, scalability, cost efficiency, and operational excellence across the organization. In this role, you will drive the vision and strategy for specific areas within our cloud infrastructure domain, helping to shape key components of this foundation to optimize resources, improve developer productivity, and maintain our competitive edge as we continue to grow globally.

Based on business priorities, you'll drive key strategic initiatives such as:

• Efficiency Insights: Enabling financial accountability for cloud resources by driving a product strategy for cost visibility, optimization, and governance. You'll partner with engineering on capabilities that provide visibility into cloud spend, surface actionable recommendations, and establish cost governance controls. These tools will help teams understand their cloud costs, identify savings opportunities, and make informed resource decisions, ultimately driving more efficient use of our cloud infrastructure.
• Infrastructure Management: Driving the evolution of our infrastructure management capabilities through modern infrastructure as code solutions that provide a unified experience for configuring and managing cloud resources. You'll address challenges like fragmented interfaces and complex configuration experiences by creating a unified configuration experience (across DSL, UI, CLI, API) with intent-based interfaces that abstract away complexity while allowing users to access lower-level controls when needed. This work will reduce toil and improve productivity across teams that provide and consume infrastructure services.

This is a unique opportunity to partner with leadership to shape the future of Netflix’s cloud infrastructure, identifying highest-impact opportunities as our needs evolve and driving significant improvements in how we manage and optimize our cloud resources.

What You Will Do

• Deeply understand customer needs, product analytics, and industry innovation to drive the product vision and strategy for cloud cost efficiency and infrastructure management
• Partner with engineering teams and stakeholders to define and align on vision, strategy, and roadmaps that maximize business and customer impact
• Develop product roadmaps that execute on the product vision and inform engineering teams of what problems need to be solved
• Define how we will measure the success and effectiveness of our products and drive the execution and continuous evaluation of those metrics
• Create strong partnerships with Netflix engineers, establishing continuous feedback loops to better understand their problems
• Ensure we are solving the right problems by sourcing input from multiple channels and prioritizing effectively
• Stay informed about industry advancements, influence their direction, and conduct comprehensive buy vs. build analysis
• Ensure that our product evolution thoughtfully addresses product lifecycle and adoption/migration experience
• Help evolve Platform Engineering's customer engagement model, communication strategy, and prioritization practices

What We're Looking For

• 7+ years of experience as a Technical Product Manager
• Demonstrated expertise in cloud infrastructure, preferably AWS
• Familiarity with modern infrastructure management approaches, which may include infrastructure as code, cloud resource management, or similar technologies
• Experience with infrastructure as code tools and platforms (e.g., CloudFormation, Terraform, Pulumi)
• Experience with cloud efficiency and optimization
• Experience managing and evolving products in the cloud infrastructure space
• A healthy blend of technical knowledge with a customer-focused mindset and empathy
• Strategic thinker who can connect customer use cases to technology solutions and think holistically about end-to-end experience
• Ability to adapt focus across multiple initiatives while maintaining strategic continuity
• Comfortable applying a combination of qualitative and quantitative methods to define success
• Product intuition and judgment to solve problems and make decisions without perfect information
• Insatiable curiosity to learn new domains, keep up with industry innovation, and constantly ask 'why'
• Excellent communication skills; timely communication with clear expectations

More About Cloud Infrastructure @ Netflix

• Cloud Efficiency at Netflix
• How Netflix Accurately Attributes eBPF Flow Logs
• Pushy to the Limit: Evolving Netflix’s WebSocket proxy for the future

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $440,000.00 - $725,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

At Netflix, we have an insatiable desire to continually improve our products and deliver new experiences to delight and entertain our quickly growing membership. The Principal Product Manager - Games - Social Platform is a senior, cross-functional leader who will apply their strategic, analytical, and relationship-building expertise to develop and execute our roadmap for bringing our members together to play games via social experiences like online and co-op multiplayer, sharing, chat, and more.

What you will do:

• Own the games social platform strategy, developing products our first and third party game studio partners will use to connect members to each other, as well the expression of these social features within the Netflix apps themselves.
• Utilize consumer research, analysis, partner interviews, and user testing to advance our understanding about how social experiences for games will drive member joy.
• Drive strategic alignment across Netflix’s Games and Product & Technology organizations about which social experiences we should enable, where we should enable them, and the impact we expect them to create.
• Collaborate closely with engineers to execute on the development of back-end systems for game development partners and the tooling to enable them to provision and optimise those experiences.
• Own the games social experience for our members, bringing together teams from across the company to create a unified strategy and roadmap for enabling member-to-member relationships and communications.
• Collaborate with Games Leadership and Business Development Leads to identify opportunities to expand and accelerate the availability of our Social offerings through external partnerships.
• Manage the risk assessment of social features and mitigation plan in partnership with Trust and Safety, Legal, and Player / Customer Support.

You are the ideal candidate if:

• You are an experienced product manager & product leader, passionate about games and deeply familiar with gaming ecosystems and platforms. Your curiosity has made you a passionate expert in all things Gaming as both a player and a product developer. You have demonstrated industry experience in the games industry and environment, its revenue streams, business models, industry trends, and the needs of both gamers and game developers.
• You possess deep awareness of the ways in which games facilitate and amplify strong social connections between players, and you have a strong perspective about the joy that social experiences can bring to players when done well (and the hazards they pose when done poorly). You understand the interplay between game-specific and platform social experiences, and can help partners on either side elegantly connect the two.
• You think strategically and you prioritize ruthlessly. You excel at synthesizing market feedback and industry insights and identifying opportunities to shape product innovation. You partner well with data analysts, researchers, and product designers to clearly identify the highest value problems to solve for our members.
• You communicate with exceptional clarity and thrive as a collaborator in highly cross-functional environments. You engender trust and exemplify leadership without authority. You build bridges between functions, teams, and stakeholders and can clearly define a product vision around which others rally to deliver a unified product.
• You feel comfortable operating in a lean and nimble environment. You exemplify good judgment in identifying, prioritizing, and leading innovation projects. You are adaptable, empathetic, and future-oriented. Challenges pique your curiosity and compel you to lean in.

Requirements

• 10+ years of experience in product management or related business areas, with direct experience working on social products / systems in video games.
• A passion for enhancing the customer experience through data-driven insights and user feedback, with the ability to translate complex technical concepts into intuitive and engaging solutions.
• Proven ability to think strategically, work collaboratively, and lead complex and highly impactful cross-functional projects from concept to completion
• Technical background or strong understanding of technical systems & platforms and the ability to communicate with and challenge both technical and non-technical audiences.
• Ambitious self-starter who deals well with ambiguity and a fast paced, multiple project environment
• A history of achieving product outcomes through user testing and data driven decision making.
• Experience translating UX testing and feedback into impactful new features
• Passion for the digital gaming space

Does this sound uncomfortably exciting? Please don’t self-select out; let’s figure it out together. We’d love to talk to you! 

Location: West Coast, with some travel to Los Angeles or Los Gatos, CA as needed ​

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $660,000.00 - $1,000,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

In April 2022, we announced that we are creating a new lower-priced, ad-supported tier for our customers. We are now working toward our goal of providing more choice for consumers and a premium, better-than-linear TV brand experience for advertisers. That said, we are looking for the founding members of this new business area for Netflix!  

The Media Planning and Recommendation team in Ads DSE at Netflix’s mission is to help build an industry-leading media planning suite for the success of Netflix’ the ads business. We conduct analyses and build Machine Learning models and algorithms in product and targeting recommendation, all with the ultimate goal of creating more choices and joy for our members. As a leader in this space, you will work closely with partner teams in Product and Engineering to think big about our business goals and draw the blueprint for how we can achieve them through models and algorithms. Your team will apply strong analytical rigor to evaluate ideas, dissect problems, build models and workflows, provide recommendations and drive success on end-to-end initiatives in this 0 - 1 space.

Responsibilities:

• Hire, inspire, and grow high-performing Machine Learning Scientists, Data Scientists, and Analytics Engineers.
• Lead strong partnerships with stakeholders from across the business - from product management, engineering, consumer insights, content, and strategy.
• Instill an inclusive culture that is innovative and collaborative, both within your team and in the broader organization.
• Develop a team charter and roadmap that optimizes the impact of the team and reflects evolving business needs.
• Act as an ambassador between the Product, Engineering, Strategy, and DSE teams by having a deep knowledge of how the Netflix Ads product works.
• Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence & impact the business.

The Ideal Candidate:

• Demonstrated tenacity, resilience, and leadership experience that enables you to organize and drive cross-functional projects, overcome challenges, and propose solutions.
• Be both quantitative and qualitative. You should be able to quickly assess and understand complex systems, but also have high EQ, so that you can be a product ambassador to the rest of the organization.
• You are a player-coach. You can develop roadmaps and strategy, but also execute on technical work and ensure that your team produces consistent high quality outputs.
• Superb communication skills - You must be able to cultivate strong working relationships, communicate effectively, write meticulously, and give outstanding presentations to both technical and creative audiences.
• Experience building and leading hybrid Data Science and ML teams in the Ads space.
• Capacity and passion to translate business objectives into actionable analyses, and use analytics to guide product and business with quantitative recommendations.
• A passion for TV and movies and defining the future of entertainment.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $470,700.00 - $828,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The Teams

We’re hiring for two Android Software Engineer 4 roles across our Foundations teams:

• Android Client Foundations: Build core infrastructure, app architecture, automation, and developer frameworks that empower engineers to deliver rich, performant, and accessible Android experiences.
• Shared Client Foundations: Building UI architecture and frameworks leveraged across iOS, Android, TV, and Web, enabling cross-platform data access, server-driven UIs, and efficient feature development.

If you’re passionate about building elegant, maintainable, and high-impact software that empowers fellow engineers and touches millions of users, we’d love to talk!

What You’ll Be Doing

On the Android Client Foundations Team

• Build and maintain core Android infrastructure, app architecture, developer frameworks, and release tooling that empower Android engineers to deliver rich, elegant, and performant product experiences.
• Define, advocate, and implement Android best practices to ensure consistency and simplicity in a high-commit volume codebase.
• Leverage technologies such as Kotlin, Java, Jetpack Compose, Dagger/Hilt, and GraphQL to deliver scalable, maintainable, and modern solutions.
• Develop code with a strong focus on testability, maintainability, and quality, writing automated tests using JVM Unit and Espresso.
• Continuously modernize and optimize the Android codebase by keeping a pulse on cutting-edge technologies and software engineering practices.
• Take on large-scale, future-looking foundational architecture and frameworks that enable both current and future innovations for product teams.
• Build operationalized solutions and insightful release and production tooling that accelerate innovation, are robust for production environments, and enhance developer experience.
• Care deeply about performance, quality, and accessibility, striving to create elegantly designed, highly performant architectures that empower engineers to build unique UI experiences for millions of users globally.

On the Shared Client Foundations Team

• Design and implement cross-platform UI architecture and frameworks that power Netflix applications on Android, iOS, TV, and Web, enabling rapid execution and product innovation on solid, field-tested foundations.
• Build solutions using Kotlin for Android, leveraging GraphQL as a shared data access technology. On iOS we use Swift, and on TV & Web we use JavaScript/TypeScript.
• Create and evolve server-driven UI architecture and tooling to accelerate app experimentation, feature delivery, and support a wide variety of product use cases.
• Deliver frameworks and libraries that simplify feature-configuration-based UI development, making UI development efficient and enjoyable for product engineers.
• Independently scope, design, implement, and deliver project tracks, thoughtfully weighing business, product, and architectural trade-offs.
• Support and collaborate with product engineers building the Netflix application on top of your frameworks, ensuring the application runs smoothly in production.
• Collaborate with a broad set of client, server, foundational, and product engineers to enable high development velocity and robust production support.
• Improve UI development velocity for over 100 engineers, impacting millions of users, thousands of devices, and nearly every country in the world.

What Sets You Apart

• Technical Curiosity & Growth: You’re eager to deepen your expertise in mobile architecture and Android development and are open to learning about other platforms, such as iOS, TV, and the Web.
• Empowering Others: You love the idea of your work being a force multiplier, enabling and accelerating the work of hundreds of engineers.
• Collaboration & Communication: You thrive in a collaborative environment, value diverse perspectives, and build strong relationships across teams through clear and thoughtful communication.
• Problem-Solving & Trade-offs: You know there’s rarely a single ‘right’ solution, and approach technical challenges with a thoughtful, analytical mindset, balancing business, user, and architectural needs.
• Inclusive & Global Mindset: You appreciate working in a diverse, inclusive team, and are motivated by the impact your work has on millions of users across thousands of devices globally.
• Ownership & Autonomy: You take responsibility for the scope, design, and delivery of your work, and are comfortable navigating ambiguity and making trade-offs.
• Passion for Impact: You care deeply about creating elegantly designed, maintainable, and performant software, and are driven by the opportunity to improve the daily lives of engineers and the experiences of Netflix members worldwide.

Why Netflix Foundations?

• Scale & Impact:
  As part of the Android and Shared Client Foundations teams, your work will directly enhance UI development velocity for over 100 engineers, enabling them to deliver faster and more efficiently. The frameworks, libraries, and tools you build will shape the streaming experience for more than 100 million users worldwide, across thousands of devices including TVs, mobile phones, tablets, and more, in nearly every country on the globe.
• Unique Technical Challenges:
  You'll tackle a wide range of technical problems, building flexible framework solutions that span diverse product use cases, platforms, and network conditions. Our work covers both client and server environments, all while keeping usability and performance at the forefront. This breadth offers a unique opportunity to explore different technical areas and deepen your expertise.
• Collaboration & Communication:
  We value the ability to build strong relationships and collaborate effectively. You’ll work closely with outstanding teammates, sharing knowledge and ideas in a culture that values open communication.
• Ownership & Autonomy:
  We believe in hiring responsible engineers and providing them with the business context they need. You’ll be empowered to truly own your projects, from defining scope and design to making key trade-offs and implementation decisions.
• *Growth & Learning:*
  The Android and Shared Client Foundations teams are places to grow. You’ll have the chance to collaborate with talented peers, explore new technologies, and continually expand your skills in an environment that encourages curiosity and lifelong learning.

Learn about Android @ Netflix

• Read about how we migrated our Android endpoints out of a monolith into a new microservice (Rohan and Ed)
• See one of our pull requests for Epoxy (Emmanuel)
• Read our take on Rx onError Guidelines (Ed)
• See some of our work highlighted at a Netflix Women In Tech Event

If you’re passionate about building the foundations that empower world-class product experiences, and want to work in a collaborative, diverse, and high-impact environment, we encourage you to apply!

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $250,000.00 - $413,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

In April 2022, we announced that we are creating a new lower-priced, ad-supported tier for our customers. We are now working toward our goal of providing more choice for consumers and a premium, better-than-linear TV brand experience for advertisers. That said, we are looking for the founding members of this new business area for Netflix!

The Ads Data Science and Engineering team at Netflix’s mission is to help build the foundation of the ads business at Netflix. We conduct analyses and develop analytic tools, build predictive models and algorithms using machine learning, all with the goal of creating more choices and joy for our members. You’ll work closely with partner teams to build workflows, provide recommendations, and drive success on end-to-end analytics initiatives in this 0 -1 space.

We are seeking Sr Data Scientists to work on various exciting projects across ad optimization, including audience & identity, forecasting, core ad ranking,  auction/marketplace design, pricing, and yield optimization.

As a Data Scientist, you will partner with a diverse range of cross-functional business partners to uncover new opportunities, design, execute, and analyze experiments, and deliver solutions that have a significant business impact and implications for our users. You will help drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning. This is a high-impact role in which you will have direct influence on how product decisions are made.

In this role, you will:

• Apply statistical modeling, machine learning, and optimization techniques to business problems at the intersection of product and data science
• Autonomously identify and pursue research with significant business impact, and make compelling cases for prioritization and resource allocation
• Proactively perform data exploration on engagement behaviors to discover future opportunities
• Collaborate with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc., to develop and deploy models at scale
• Deliver well-documented datasets, tools, and reports to key technical and business partners
• Identify, compute, and validate the appropriate metrics to measure success in a product area
• Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc.
• Present your research and insights to all levels of the company

We are looking for:

• Advanced degree in Statistics, Machine Learning, Economics, Operations Research, Mathematics, Physics, or related quantitative field
• 5+ years of relevant experience with large-scale data
• Strong statistical knowledge and intuition - ideally utilized in experimentation or other product analytics settings
• Strong product knowledge and intuition - ideally utilized in consumer/user interface settings or internally serving technical audiences such as engineers.
• Demonstrated ability to communicate and drive product change across a variety of stakeholders
• Strong SQL skills
• Strong Quantitative Programming skills in Python or R
• Ability to work independently and drive your own projects
• Ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels.
• Embodies the Netflix values while bringing a new perspective to continue improving our culture
• Plus: Experience in building real-world machine learning models with demonstrated impact
• Plus: Experience creating data products and dashboards, such as Tableau
• Plus: Experience in building causal inference solutions
• Plus: Familiarity with software engineering practice and working with APIs

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

As Netflix continues to grow, so do the opportunities to enhance our personalization systems and algorithms. We're looking for a passionate and talented Research Engineer to join our Al for Member Systems. In this role, you will apply your expertise in machine learning and software engineering to design, develop, and scale solutions that power the Netflix experience.

*Key Responsibilities:*

• Collaborate with cross-functional teams, including researchers, engineers, data scientists, and product managers, to develop and implement machine learning algorithms that improve personalization, recommendations, and member experiences.
• Create scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment in Netflix's large-scale, real-time systems.
• Optimize the performance and scalability of machine learning models, ensuring they can handle the diverse tastes and behaviors of our global member base.
• Design and conduct offline experiments and A/B tests to validate the impact of algorithmic changes on key business metrics.
• Contribute to the ongoing improvement of our ML infrastructure and tooling, ensuring that we stay at the cutting edge of industry practices.
• Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering.

What we are looking for:

• 5+ years of experience in applying machine learning in an industrial setting, with a track record of delivering impactful results.
• PhD or Masters in Computer Science, Statistics, or a related field
• Expertise in machine learning algorithms and frameworks, with hands-on experience in training, tuning, and deploying models in production environments.
• Excellent software design and development skills in Python along with Scala, Java, C++, or C#
• Experience in one or more of the following applied fields: Recommendations, Personalization, Long-term Reward Modeling, Bandits, Transformers, Large-Scale Language Models, LLM evaluation, RLHF reward modeling/alignment
• Great interpersonal skills including strong written and verbal communication

*Preferred Qualifications:*

• Experience building or enhancing personalization systems, search engines, or similar large-scale machine learning applications.
• Background in neural networks, natural language processing, or causal inference
• Contributions to open-source projects in machine learning or related fields.
• Experience working with cross functional teams

Links:

• Netflix Research site
• Our long term business view

NOTE: This job posting is inclusive of a variety of positions within our AI for Member Systems (AIMS) Engineering group. Based on your background, expertise and interests, we will route you to the appropriate team(s). All teams may not be hiring at the same time.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

As Netflix continues to grow, so do the opportunities to enhance our personalization systems and algorithms. We're looking for a passionate and talented Software Engineer for Machine Learning to join our Al for Member Systems team. In this role, you will apply your expertise in software engineering to design, develop, and scale solutions for the machine learning algorithms that power the Netflix experience. You will work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests. For more details about software engineering for personalization at Netflix, see these links: 

• Consolidating ML models
• InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models
• Evidence Personalization
• Page Simulation for Better Offline Metrics at Netflix
• RecSysOps

As a software engineer in the team, you will contribute to the next generation of algorithms used to generate the Netflix experience by driving the vision, requirements, design, implementation, testing, and ownership of software components essential for our algorithmic innovation. You will collaborate with our applied researchers and data scientists to implement scalable, flexible, production-ready solutions for our algorithms. You will also guide the team towards better software engineering practices and systems by identifying areas for improvement and mentorship. You will collaborate with other engineers to create solutions that are used beyond our team. To excel in this role, you should have a robust software engineering background, a keen sense of software engineering principles and design, a proven experience with large-scale applications involving machine learning, a love of learning, possess strong communication skills, and the ability to work well in large cross-functional teams.

What we are looking for:

• A degree in Computer Science or a related field
• 4+ years of full time software engineering experience with a bachelor’s degree; or 2+ years of experience with a graduate degree
• Excellent software design and development skills in Python along with Scala, Java, C++, or C#
• Solid understanding of various software engineering best practices and their appropriate application
• Experience building web-scale parallel and distributed computing systems
• Experience with large-scale data frameworks such as Spark or Flink
• Excellent collaboration skills
• Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems

Preferred, but not required:

• Experience building or enhancing personalization systems, machine learning platforms, search engines, or similar large-scale machine learning applications.
• Experience building machine learning models or LLMs
• Experience scaling and optimizing the training and serving of machine learning models
• Experience with machine learning libraries TensorFlow, PyTorch, JAX or Keras
• Experience with cloud computing platforms like AWS
• Background in math, statistics, or numerical computation
• Significant contributions to open-source projects

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.