Job Listings

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Fast-paced innovation in the theory and practice of large language models (LLMs) and other foundation models is greatly helping to advance state-of-the-art in personalization and discovery experiences. However, cost-effective and efficient training and serving of the models at Netflix’s scale is a technical challenge. Hence we are looking for an exceptional applied research engineer to help us develop the technology that would enable efficient training and serving of these models.

In this role, you will aid applied research and product development by conceptualizing, designing, and implementing engineering improvements related to large-scale deep neural networks. You would have proven expertise in efficiency optimizations using techniques such as quantization, model pruning, distillation, compute-efficient finetuning, etc. You have to be deeply knowledgeable in ML hardware and software to be successful in this role. Additionally, you need solid software development skills, a love of learning, a passion for solving problems, a bias to action, and effective collaboration with scientists.

What we are looking for:

• 5+ years of software engineering experience with a track record of delivering quality results.
• Proven expertise in training and serving infrastructure for LLMs and other large foundation models.
• Strong problem-solving skills with knowledge of statistical methods.
• Strong software development experience in languages such as Python and Java.
• Deep understanding of TensorFlow and/or PyTorch.
• Familiarity with hardware and software accelerators and GPU-based optimizations
• Great interpersonal skills.
• Strong communication skills - written and verbal.
• Graduate degree in Computer Science, Statistics, or a related field.

Preferred, but not required, additional areas of experience:

• Experience as a technical leader.
• Experience working with cross-functional teams.
• Experience in Search, Recommendations, Natural Language Processing, Knowledge Graphs, Conversational Agents, and Personalization.
• Experience with Spark or other distributed computed platforms.
• Experience with cloud computing platforms and large web-scale distributed systems.
• Experience in applied research in industrial settings.
• Open source contributions.
• Research publications at peer-reviewed journals and conferences on relevant topics.

Links to some of our published work:

• Synergistic Signals: Exploiting Co-Engagement and Semantic Links via GNN - Under review.
• Lessons Learnt From Consolidating ML Models in a Large-Scale Recommendation System
• Search Personalization at Netflix - PaRiS Workshop - WebConf 2023.
• Augmenting Netflix Search with In-Session Adapted Recommendations - RecSys 2022
• Query Facet Mapping and its Applications in Streaming Services - SIGIR 2022
• Recommendations and Results Organization in Netflix Search - RecSys 2021
• Challenges in Search on Streaming Services: Netflix Case Study - SIGIR 2019
• Netflix Research site

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 $100,000 - $720,000.

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 detail about our Benefits here.

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

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

With more than 230 million members in over 190 countries, Netflix continues to shape the future of entertainment around the world. Machine Learning/Artificial Intelligence is powering innovation in all areas of the business, from helping members choose the right title for them through personalization, to better understanding our audience and our content slate, to optimizing our payment processing and other revenue-focused initiatives.
The Machine Learning Platform (MLP) provides the foundation for all of this innovation. It offers ML/AI practitioners across Netflix the means to achieve the highest possible impact with their work by making it easy to develop, deploy and improve their machine learning models. 
As part of our mission to support the infrastructure for machine learning across the company, we are hiring for a Machine Learning Engineer to join our team to contribute to the team's mission of bridging the gap between ML research and productization. In this role, you will:
-Develop customer facing libraries and services to productize machine learning models for efficient and scalable inference. 
-Develop and maintain online inference services that provide real-time predictions with low latency and high reliability.
-Optimize and deploy large language models (LLMs) for efficient, scalable inference, ensuring high performance and low latency in production environments.
-Maintain and improve a model registry to facilitate the discovery, versioning, and governance of machine learning models.
-Participate in and improve ML Platform incident management and support workflows.
What we offer
Opportunity for impact. You will work on cutting edge ML infrastructure use cases and technologies. This role will develop into strategic ownership opportunities for defining MLP’s path from research to production, specifically focusing on building services and tools to accelerate research to production velocity for Netflix ML practitioners..
Responsibility. Netflix offers true transparency and autonomy. Our culture is unique and is key to how we innovate. From day one, your expertise and opinion will be respected and valued by the team and you’ll be given autonomy in deciding the best direction to set for optimizing research to the production path for ML practitioners at Netflix.
Learning. You will be developing libraries, tools and services to ensure an efficient and reliable journey of productizing ML models. You will have the opportunity to work with stunning colleagues who value collaboration and have a wealth of experience you can tap into.
A work environment where you can grow your career. ML Platform offers a wide variety of projects that can help find the areas you are passionate about.
Who will be successful in this role?

• You are highly customer-driven / developer-driven and empathic. You strive to always focus on delivering customer / user value with an excellent customer service mentality.
• You have a strong understanding of building scalable and efficient model serving solutions to support large-scale inference for generative models and large language models (LLMs). You create solutions that your stakeholders love and you drive development success from planning to implementation to delivery.
• You can successfully execute changes within a team's systems, including developing, testing, deploying, and revising solutions.
• You can communicate and collaborate effectively  (e.g. project meetings, team meetings, code reviews) with immediate team peers and cross-functional project teams.
• You are eager to both go deep and wide on ML-facing projects. When a project needs deep technical expertise in a domain area you are able to get up to speed quickly. When projects require breadth of focus you are eager to do what’s needed to deliver value even if it means going outside of your comfort zone.

Skills:

• Strong programming skills, particularly in languages such as Python and Java, and familiarity with ML libraries and frameworks like TensorFlow, PyTorch.
• Familiarity tools and techniques for deploying machine learning models into production environments, with a particular emphasis on GPU inference optimization (e.g., Triton Inference Server, TensorRT), as well as containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
• Experience designing with data handling, preprocessing, and transformation techniques to prepare data for model inference.
• Demonstrated industry-leading experience in large-scale build, release, CI/CD and observability techniques, with particular emphasis on multi-language environments including Scala, Java, and Python.
• Adopt and promote best practices in operations, including observability, logging, reporting, and on-call processes to ensure engineering excellence.

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 $100,000 - $464,000.
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 detail about our Benefits here.
Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

It’s a fantastic time to join Netflix as we continue to transform entertainment. We deliver billions of hours of movies and TV shows per month to more than 270 million members in over 190 countries. At Netflix, we want to entertain the world.
The Team
This role is part of the Exploration and Troubleshooting team, a crucial part of our Observability engineering group.
Observability engineering provides the platform and suite of products that allow Netflix engineers to understand how their services behave in real time, detect anomalies in system health, and troubleshoot and remediate problems. Our platform processes billions of data points in real-time every minute. The success of our platform and products is crucial to Netflix's success and our ability to operate the Netflix cloud.
What you could work on
In your role, you will work across this suite of products to deliver a best-in-class observability experience and combine numerous observability signals into usable, actionable insights. A large portion of your responsibilities will also involve representing our team to our Observability sister teams: Telemetry and Monitoring. You will work with individuals with extensive background experience in the Observability space and learn how an observability product operates at the Netflix scale.
About you

• Full Stack: You would consider yourself a full-stack developer. You have experience in both backend and frontend development for a good part of your career and expertise in owning and maintaining backend services.
• Backend for Frontends: You are proficient in designing, building, and operating API layers that support various front-end user experiences. You should have experience with GraphQL and Node.js.
• API development: You have built, maintained, evolved, and/or sunset a variety of APIs.
• React: You are proficient in working with React and TypeScript
• Full lifecycle engineer: You are knowledgeable about and are willing to own all areas of the software lifecycle: design, development, test, deploy, operate, and support.
• Industry Experience:  6+  years of experience in high-scale, modern tech-driven companies.

Behavioral skills

• Collaborate: You enjoy collaborating with multiple teams and use your communication skills to influence product direction and keep stakeholders in the loop.
• Communicate: You are comfortable explaining topics to a competent as well as inexperienced audience.
• Well-informed opinions: You have well-informed opinions on subjects and do not shy away from making decisions.
• Provide and receive feedback: You are proactive about soliciting and providing feedback.
• Selfless: You seek what is best for Netflix and make time to help colleagues across the team succeed.
• Comfortable with ambiguity: You are curious and enjoy working on ambiguous problems. You excel at cross-functional ownership and driving alignment to reach a decision, even when it is outside of your wheelhouse.
• A deep sense of ownership: You take deep ownership of your projects and feel pride in delivering great work with attention to the details.
• Share Knowledge: You like to share your learnings and mentor folks around you in your areas of expertise.

Nice to have

• Observability Experience: You have used or built observability products like logs, metrics, and traces.
• Platform mindset: You have worked on infrastructure or platform teams where other engineers at the company were your customers.

About Netflix
Our culture is unique, and we tend to live by our values, allowing you to do your best work and grow. To learn more about Productivity Engineering, feel free to listen to this podcast.
At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. 
The overall market range for roles in this area of Netflix is typically $100,000 - $720,000
This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

As Netflix continues to grow, we are venturing into exciting new frontiers of personalization to help our members find the content they will most enjoy. In particular, we’re seeking to expand the breadth of entertainment we can provide our members beyond movies and series to include games and live-streaming events. To do this, we need to enable our algorithms to recommend a broader range of content both by extending our existing approaches and taking on the unique challenges of different types of entertainment.

We are looking for a Manager to lead the Content Personalization Algorithms Engineering team. You will lead the way for a team of machine learning engineers and researchers to develop the next generation of algorithms that are capable of recommending from a wider selection of content. This includes being able to respond quickly to trending live events and using bootstrapping or transfer learning to personalize new entities within our system. It also involves enhancing our system’s understanding of the unique aspects of the content that we recommend.

In this role, you will be responsible for building and leading a team of world-class engineers and researchers doing cutting-edge applied machine learning. You will cultivate a vision and strategy for the team aligned with our mission and guide innovation projects from end-to-end: idea to production A/B tests. Your team will be responsible for improving our core recommendation algorithms as well as developing new ones, working in conjunction with many other teams spanning personalization, serving, product management, machine learning platforms, data engineering, data science, different content areas, and more. To be successful in this role, you need to have a strong machine learning and engineering background, be data-driven, have a passion for personalization, have an execution focus, a love of learning, and have the ability to partner well with multi-disciplinary, cross-functional teams and stakeholders. You also need to be great at giving and receiving feedback, championing new ideas, fostering an inclusive team culture, mentoring, empowering others, and balancing the needs of both engineering and research.

What we are looking for:

• Experience building and leading a team of machine learning engineers and researchers.
• A track record of leading successful real-world applications of machine learning.
• Ability to lead in alignment with our unique culture.
• Broad knowledge of machine learning with a strong mathematical foundation.
• Strong understanding of software engineering and large-scale distributed systems.
• Great interpersonal skills.
• MS or PhD in Computer Science, Statistics, or a related field.

You will ideally have experience with:

• 10+ years of total experience including 5+ years of machine learning management.
• Leading teams focused on Personalization, Search, or Recommender Systems.
• Deep Learning, Ranking, LLMs, or Bandits/Reinforcement Learning.
• Experience working on large-scale, consumer-facing machine-learning applications.

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 $190,000 - $920,000.

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 detail about our Benefits here.

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

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

It’s an amazing time to be joining Netflix as we continue to transform entertainment. At Netflix, we want to entertain the world. To achieve this, we must be able to rapidly build and ship innovative experiences for our members and creators all around the globe.

Who we are
Delivery Core is a full-stack platform engineering team (we have frontend and backend engineers in one team) that enables continuous delivery of software and infrastructure changes across all Netflix services. We work cross-functionally with partners across engineering to make working inside the Netflix engineering ecosystem more efficient and enjoyable for all. We focus on increasing productivity, minimizing toil, and increasing the frequency and safety of software delivery.

What you could work on
Our team is primarily responsible for the developer platforms that roll out software and infrastructure changes to the entire Netflix fleet. We do this through our Continuous Delivery (CD) system Spinnaker, and our higher level declarative delivery-based platform, Managed Delivery. We are more closely unifying these products into one cohesive unified Delivery experience. Some example goals for projects include:
- Reduce friction and time to deploy software across our internal fleet
- Improve the safety of infrastructure changes 
- Improve ease of use for configuring application deployment specifications

What We’ll Expect From You
We are seeking a backend, distributed systems focused engineer who is comfortable writing, improving, maintaining, and sunsetting critical services at tremendous scale. Below are the specific behaviors and competencies important for this role.

Behaviors:

• Cross-Functional – You enjoy collaborating with multiple teams on creating solutions and supporting solutions with a myriad of sometimes conflicting requirements.
• Seeking Excellence – You enjoy the pursuit of engineering excellence by evangelizing, establishing and iterating on best practices.
• Curiosity – You are curious and enjoy working on ambiguous problems where the solutions are not (yet) well defined.
• Communication –  You are proficient in verbal and written mediums at explaining topics that the audience was not familiar with previously.

Core competencies:

• You possess strong software skills in Java or other JVM languages.
• You are experienced with operating complex distributed systems components (like databases, APIs (REST, gRPC, GraphQL), and controllers). You know how to debug them and how they can fail.
• You are proficient in backend services and integration layers.
• You are able to break down complexity, iterate, and communicate progress to a wide variety of partners and stakeholders

Helpful competencies:

• You possess strong software skills in Java or Kotlin.
• You have worked on a developer platform team where other engineers were your customers.
• You have worked on schema changes in a federated GraphQL gateway.
• You are familiar with the Spring Boot framework.
• You are proficient with high volume data stores.

What to Expect From Us:

• High Impact - your work will touch every engineer at the company and be crucial for the ongoing success of Netflix.
• Stunning Colleagues - you will be working with other excellent people with diverse perspectives, who value collaboration, working to excel as the “dream team”.
• Energizing Challenges - there is a wealth of opportunity when working on complex technical projects and our culture both enables and encourages you to rise to the challenges.
• Feedback – you will constantly have opportunities for growth because meaningful positive and constructive feedback is part of everyday life at Netflix.

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 $100,000 - $720,000.

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 detail about our Benefits here.

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

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

It’s an amazing time to be joining Netflix as we continue to transform entertainment. At Netflix, we want to entertain the world. To achieve this, we must be able to rapidly build and ship innovative experiences for our members and creators all around the globe.

Who we are
Delivery Core is a full-stack platform engineering team (we have frontend and backend engineers in one team) that enables continuous delivery of software and infrastructure changes across all Netflix services. We work cross-functionally with partners across engineering to make working inside the Netflix engineering ecosystem more efficient and enjoyable for all. We focus on increasing productivity, minimizing toil, and increasing the frequency and safety of software delivery.

What you could work on
Our team is primarily responsible for the developer platforms that roll out software and infrastructure changes to the entire Netflix fleet. We do this through our Continuous Delivery (CD) system Spinnaker, and our higher level declarative delivery-based platform, Managed Delivery. We are more closely unifying these products into one cohesive unified Delivery experience. Some example goals for projects include:
- Reduce friction and time to deploy software across our internal fleet
- Improve the safety of infrastructure changes 
- Improve ease of use for configuring application deployment specifications

What We’ll Expect From You
We are seeking a backend, distributed systems focused engineer who is comfortable writing, improving, maintaining, and sunsetting critical services at tremendous scale. Below are the specific behaviors and competencies important for this role.

Behaviors:

• Cross-Functional – You enjoy collaborating with multiple teams on creating solutions and supporting solutions with a myriad of sometimes conflicting requirements.
• Seeking Excellence – You enjoy the pursuit of engineering excellence by evangelizing, establishing and iterating on best practices.
• Curiosity – You are curious and enjoy working on ambiguous problems where the solutions are not (yet) well defined.
• Communication –  You are proficient in verbal and written mediums at explaining topics that the audience was not familiar with previously.

Core competencies:

• You possess strong software skills in Java or other JVM languages.
• You are experienced with operating complex distributed systems components (like databases, APIs (REST, gRPC, GraphQL), and controllers). You know how to debug them and how they can fail.
• You are proficient in backend services and integration layers.
• You are able to break down complexity, iterate, and communicate progress to a wide variety of partners and stakeholders

Helpful competencies:

• You possess strong software skills in Java or Kotlin.
• You have worked on a developer platform team where other engineers were your customers.
• You have worked on schema changes in a federated GraphQL gateway.
• You are familiar with the Spring Boot framework.
• You are proficient with high volume data stores.

What to Expect From Us:

• High Impact - your work will touch every engineer at the company and be crucial for the ongoing success of Netflix.
• Stunning Colleagues - you will be working with other excellent people with diverse perspectives, who value collaboration, working to excel as the “dream team”.
• Energizing Challenges - there is a wealth of opportunity when working on complex technical projects and our culture both enables and encourages you to rise to the challenges.
• Feedback – you will constantly have opportunities for growth because meaningful positive and constructive feedback is part of everyday life at Netflix.

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 $100,000 - $720,000.

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 detail about our Benefits here.

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

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

In April 2022, we introduced a new, more affordable, ad-supported tier for our customers, marking a significant milestone for Netflix. Our focus is now on expanding choices for consumers and providing advertisers with a premium TV brand experience that surpasses traditional linear formats. The challenge ahead involves scaling our ad tech to maximize its impact on our business.
At Netflix, the Ads Data Science and Engineering team plays a crucial role in establishing the foundation of our ads business. Our mission encompasses conducting comprehensive analyses, developing analytic tools, and creating predictive models using machine learning, all with the overarching goal of enhancing choices and joy for our members. As a leader in this domain, you'll collaborate closely with partner teams to strategize on overarching business goals. Your team will be at the forefront of developing and implementing advanced optimization algorithms and machine learning models, driving significant enhancements to our advertising systems. With a commitment to analytical rigor, your team will evaluate ideas, dissect problems, build workflows, provide recommendations, and lead end-to-end analytics initiatives in this transformative space.
Responsibilities

• Apply modeling and machine learning 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

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, and our Hollywood and global partners.
• You are a player-coach. You can develop roadmaps and strategies, 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.
• Capacity and passion to translate business objectives into actionable analyses, and analytic results into business and product recommendations
• A passion for TV and movies and defining the future of entertainment

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 $170,000 - $720,000.
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 detail about our Benefits here.
Netflix is a unique culture and environment.  Learn more here.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Netflix is enjoyed by more than 230 million members globally, entertaining new audiences every day.  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 10 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 stakeholder 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 that 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

A few more things to know: 
Our culture is unique and we live by our values, so it's worth learning more about Netflix at jobs.netflix.com/culture. We regularly share examples of our work on our tech blog. You will need to be comfortable working in the most agile of environments. Requirements will be vague. Iterations will be rapid. You will need to be nimble and take smart risks. 
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 $170,000 - $720,000.
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.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

Netflix is the world's leading internet streaming service with over 250 million members in 190 countries. Our members enjoy a wide variety of streamed videos per day, using over 1000 types of devices, generating more than a third of downstream Internet traffic in North America. The Content Knowledge Graph team within Data Science & Engineering equips scientists, engineers, and business executives with a global understanding of the entertainment industry “on & off-service”. Our flagship product, Netflix KG (“Hitch”), a data and analytics foundational layer, is a data pillar for 100s of diverse use cases across Netflix: from enabling content and marketing business executives to make better data-driven decisions to equipping AI/ML scientists with signals that power billions of daily predictions, to providing key inputs to engineering teams building business-critical applications. Hitch is a foundation for innovation that is helping to fuel Netflix’s long-term growth.

We are looking for a Data Engineer with a background in Machine Learning to own and scale our data systems while supporting high-visibility data pipelines and products. As part of this team, you will work on a diverse tech stack to build insightful, scalable, and robust data systems and machine learning models that create and describe the entities, interactions, and usage patterns across the Netflix Knowledge Graph. You will collaborate closely with other Machine Learning Engineers and Scientists to build scalable graphs and then leverage graph data in ML predictive models.

The ideal candidate will have a strong background in distributed data processing and can demonstrate strong data intuition and end-to-end ownership of our systems - from data collection and processing to running ML systems in production.

Who you are:

• Passionate about data systems: build reliable and trustworthy web-scale data products
• Highly proficient in at least one of the programming languages (e.g. Python, Java, or Scala) with at least 4 years of software/data engineering experience
• Comfortable with SQL and using big data technologies (e.g. Hive, Presto, Spark, Iceberg, etc) on medium to large-scale data.
• Familiarity with machine learning libraries TensorFlow, PyTorch, JAX, or Keras
• Experience working in machine learning or natural language processing domains. Some experience in implementing and productionizing models in large-scale industrial settings is a plus.
• Conceptually familiar or interested in learning graph technologies (e.g. databases, data models, query languages, graph machine learning)
• You have strong communication skills and can collaborate with cross-functional team members and partners on projects that drive high-impact outcomes
• Excited about learning new business domains, demonstrating excellence, and growing your career

What you will do:

• Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data
• Leverage ML techniques for information extraction, building knowledge graphs with the information, and leveraging graph ML to power business insights.
• Build robust data quality systems using best-in-the-class data and ML techniques enabling the team and partners to deliver more business value
• Develop a deep understanding of the Netflix Data Science & Engineering ecosystem and related business domains
• Understand business requirements and provide data that empowers teams to innovate on top of the Netflix KG
• Join a stunning team of data and machine learning engineers with diverse skill sets, partnering closely with data science, analytics, and business counterparts

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 $170,000 - $720,000.

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 detail about our Benefits here.

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

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.

Netflix is one of the world’s leading entertainment services with 278 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

The Role

The Globalization Data Science and Engineering team is at the forefront of removing language barriers and providing a stellar member experience to all our members regardless of their language preferences. We are responsible for the translation and cultural adaptation of all aspects of member interaction, including beautiful localized user interfaces, subtitles, and dubbing of award-winning Netflix originals.

Los Angeles is a significant center for our broader Studio and Creative Production teams. We are looking for an experienced Analytics Engineer based in our LA office.

In this role, you will design and develop analytic tools and systems to create more member value via improving localization quality and efficiency. You will partner with a talented cross-functional team of engineers, scientists, product managers and domain experts to shape localization strategy and deliver business impact.

Responsibilities:

• Act as a strategic partner for stakeholders and cross-functional collaborators to identify business opportunities and enhance business strategies with automated data solutions.
• Drive the direction and execution of your work, which spans from developing scrappy analytic tools to designing scalable analytic systems.
• Partner closely with other engineers and scientists to improve foundational data models and accelerate productization of data insights.
• Share your innovation and collaborate with the broader community to strengthen analytics enablement.
• Become a LA ambassador for Globalization Data Science and Engineering, helping connect and partner closely with LA collaborators.

About you:

• Proven track record of designing and developing scalable analytic tools and systems.
• High proficiency in standard tech stack (e.g., Python, SQL, Spark) and common data visualization tools (e.g., Streamlit, Tableau).
• Familiar with fundamentals of Machine Learning and Statistical Inference as well as data engineering best practices.
• 5+ years of relevant experience with building data products powered by big data.
• Exceptional communication and collaboration skills coupled with strong business acumen.
• Comfortable with ambiguity; able to take ownership, and thrive with minimal oversight and process.
• Netflix culture resonates with you.

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 $170,000 - $720,000.

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 detail about our Benefits here.

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

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.