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

At Netflix, our mission is to entertain the world by connecting our members to an extensive library of amazing stories from all over the globe. We are revolutionizing storytelling as we deliver billions of hours of movies and TV shows per month to 260+ million members across 190+ countries. Developing data-driven algorithms and systems to help Netflix creators produce shows and movies in line with their vision is an important part of that mission.

The Digital Characters and Environments Algorithms team is at the forefront of innovation to enhance and support the vision of creators of movies and TV shows. This team's work is responsible for driving the efficiency of high end visual effects production, ultimately creating more joy for viewers all over the world.

We are looking for a software engineer with experience in the machine learning (ML) and computer graphics (CG) domains to design and develop the next generation of tools to be used by our visual effects studios.

In this role, you will:

• Design and develop tools that support artists' workflows by integrating GenAI models to expand creative opportunities.
• Collaborate cross-functionally with research scientists, engineers, product managers, as well as creative and business partners and stakeholders, to help define and prioritize requirements.
• Participate in algorithm development and propose scalable designs.
• Contribute to building the development infrastructure.
• Promote and facilitate software engineering best practices in the team.

About you:

• Industry experience of visual effects with practical knowledge tools such as Nuke, Houdini or Maya.
• Familiarity with concepts and workflows in ML and/or CG.
• Skilled in Python programming.
• Passion for turning ideas into great artist experiences.
• Excellent communication and people engagement skills.

Bonus experience:

• Knowledge of deep learning frameworks such as PyTorch and Tensorflow.
• Experience with models and tools for image/video generative AI.
• Experience with large-scale distributed data processing systems and cloud infrastructure.

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.

Tags: ResearchSite

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

The data platform teams at Netflix enable us to leverage data to bring joy to our members in many different ways. We provide centralized data platforms and tools for various business functions at Netflix, so they can utilize our data to make critical data-driven decisions. We do all the heavy lifting to make it easy for our business partners to work with data efficiently, securely, and responsibly. We aspire to lead the industry standard in building a world-class data infrastructure, as Netflix leads the way to be the most popular and pervasive destination for global internet entertainment.

We are looking for Distributed Systems Engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team to bring new perspectives as we solve the next set of challenges. In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S.

Spotlight on Data Platform Teams:

Data Platform Infrastructure |Learn More

The Data Platform Infrastructure team acts as a platform for our own data platforms. Our shared infrastructure and tooling enable Netflix to innovate quickly in providing state-of-the-art data and analytics systems to the rest of the company without building bespoke scaffolding for each new system. To do this, we create high-leverage infrastructure, control, and deployment systems that are fine-tuned for running our data systems at scale.

The team plays an essential role in making it easy and efficient to use the Netflix platform and security products for building the data platform; uniquely, many of our tools and systems are written in Python, so this is a great team to consider if you enjoy working in a variety of languages.

This would be your dream job if you enjoy:

• Solving real business needs at a large scale by applying your software engineering and analytical problem-solving skills.
• Architecting and building a robust, scalable, and highly available distributed infrastructure.
• Leading cross-functional initiatives and collaborating with engineers, product managers, and TPM across teams.
• Sharing our experiences with the open source communities and contributing to Netflix OSS.

About you:

• 7+ years experience in crafting complex, scalable distributed data infrastructure
• Proficiency in Java, C++, Golang, or Python with a solid understanding of multi-threading and memory management
• Proven track record of developing and maintaining high-impact systems
• Experience building and operating scalable, fault-tolerant, distributed systems
• You have a BS in Computer Science or a related field
• Familiarity with library development, DI frameworks (preferably SpringBoot), and container technologies

A few more things about us:

As a team, we come from many different countries and our fields of education range from the humanities to engineering to computer science. Our team includes product managers, program managers, designers, full-stack developers, distributed systems engineers, and data scientists. Folks have the opportunity to wear different hats, should they choose to. We strongly believe this diversity has helped us build an inclusive and empathetic environment and look forward to adding your perspective to the mix!

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 - $700,000

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Our culture is unique, and we tend to live by our values, so it’s worth learning more about Netflix 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 283 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.

Our Tools, Integrations and Productivity (TIP) team is focused on helping engineers around the world create the Netflix applications quickly and with the highest levels of quality.  We do this with tools and infrastructure that optimize the developer experience.  We tie it all together with sophisticated automated testing and productivity solutions designed to support our culture of experimentation, autonomy and ownership.  We tend to live by our values which will allow you to do your best work and grow.

What you will be doing:

• Develop tools and services that are part of our build and test automation infrastructure with an eye on scaling and reliability
• Innovatively create and develop techniques to automate manual activities in our development process
• Operate in a highly cross-functional environment where you can leverage multiple teams to help our partners be successful
• Set direction and build consensus to drive long-term positive impact on the engineering ecosystem
• Evangelize and drive adoption of software development best practices in code health, quality and test stability through frameworks and information sharing, not rules and process

Qualifications

• We are looking for a creative and highly motivated individual who is excited to take on challenging projects and help drive the future of developer productivity tools.  To be successful in this role, you must have a strong technical background in product development
• Knowledge of developing and managing cloud infrastructure, as well as expertise in utilizing the latest technologies and tools will be essential
• Possession of excellent problem-solving and communication skills and ability to collaborate effectively with other engineers, product managers and product designers
• Ability to collaborate cross-functionally with internal engineering and automation infrastructure teams to propose, develop and deploy tooling designed to optimize core attributes of the developer experience

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 $100,000-$720,000.

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.

Netflix is one of the world's leading entertainment services, with 283 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.

Securing our members’ data appropriately is key to maintaining a high level of trust with our customers. In addition, securing our technology infrastructure and understanding inherent risks are essential to enable us to scale our business effectively while maintaining a healthy security posture.

The Security Data Engineering team builds data products which provide visibility into security, fraud and technology risks across customer accounts as well as internal systems and data. This role is specifically focused on enabling our security teams in detecting and mitigating various types of security risks affecting our expansive cloud technology footprint. This requires a holistic understanding of our infrastructure topology, access controls, security policies and usage patterns. Centralizing various data points which help us understand these dimensions is key to success in this role.

We are looking for a Data Engineer to build reliable data pipelines and easy-to-use data products that allow our stakeholders to easily leverage data in an effective manner. 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 models that describe the entities, interactions and usage patterns of our technology footprint.

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

This role is based in the contiguous US and our teams work in a hybrid-working model. 

Who you are:

• Passionate about building intuitive data products to understand and mitigate security risks
• Highly proficient in at least one of Java, Python or Scala (Scala preferred) with at least 2 years of data engineering experience
• Advanced level SQL skills in a complex data environment
• Experienced in engineering data pipelines using big data technologies (Spark, Presto, Flink etc.) 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
• Prior experience in the security space is strongly preferred

What you will do:

• Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data
• Develop a deep understanding of the security ecosystem at Netflix
• Partner with the security engineering teams to understand product goals and provide data which empowers teams to improve our security posture
• Maintain and rethink existing datasets and pipelines
• Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like regression, classification, clustering etc
• Join a stunning team of data engineers with diverse skill sets, partnering closely with analytics engineering and data science counterparts

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, 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 $170,000 - $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.

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.

Netflix is one of the world's leading entertainment services, with over 300 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.

We are looking for Machine Learning Engineers to help design, build, and deploy machine learning models and systems that power personalized recommendations, content optimization, search, streaming quality, and other data-driven features across the Netflix platform. We are looking for candidates who will develop and maintain scalable ML pipelines and infrastructure, collaborate with data scientists, product managers, and engineers to translate business needs into ML solutions, and experiment with new algorithms and techniques to improve user experience and operational efficiency. 

Candidates will be evaluated to find the best fit in one of our organizations, including Content, Choosing & Conversation, Commerce or AI for Member Systems. You can find a detailed list of teams across these organizations to learn more. Applicants are encouraged to express their interest in one or multiple types of teams/ domain areas listed if your skills and qualifications are aligned.

We are looking for individuals with the following qualifications:

• Currently enrolled student pursuing an advanced degree (Master’s or PhD) in areas such as Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Computational Biology, Chemistry, Physics, Cognitive Science or a related field

• Some experience with the following machine learning areas:

• Foundational science: Practical experience in supervised and/or unsupervised machine learning, data science methods, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.

• Software engineering: Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.).
• End-to-end systems: Familiarity end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability.
• Practical experience with programming and machine learning, evidenced by projects, classwork, or research.
• Proficiency or familiarity with languages such as Python, Java, Scala, or Spark
• Experience with ML frameworks and libraries such as Pandas, NumPy, or Scikit-learn
• Curious, self-motivated, and excited about solving open-ended challenges at Netflix.
• Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.).
• Great communication skills, both oral and written.
• Intent to return to your degree-program after the completion of the internship.

For your application to be considered complete

• You will be sent an Airtable form shortly after you submit your application on our careers site; your application will not be considered complete until you fill out and submit this form.
• Include a Resume or CV with complete contact information (email, phone, mailing address) and a list of relevant coursework and publications (if applicable).You will be asked to include a short statement describing your research experiences and interests, and (optionally) their relevance to Netflix Research. For inspiration, have a look at the Netflix Research site.
• Applications will be reviewed on a rolling basis and it’s in the applicant's best interest to apply early. The application window will remain open until roles are filled.

About the Internship Program

At Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture.

• Internships are paid and are a minimum of 12 weeks, with a choice of fixed start dates in January 2026 (Winter), May or June 2026 (Summer) to accommodate varying school calendars. Our summer internships will be located at our headquarters in Los Gatos, CA, with limited opportunities in Los Angeles or New York depending on the team.
• This program is intended for students who will be returning to school for at least one semester/quarter following the internship to be eligible for full time employment. Conversion or return offers are based on business need and headcount, and are not guaranteed.

At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, 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 Netflix Internships is typically $40/hour - $85/hour.

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.

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.

Netflix is one of the world's leading entertainment services, with over 300 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.

Machine Learning Research at Netflix improves various aspects of our business, including personalization algorithms, member and title understanding, creative tooling, system optimization, and innovative tooling. Our research spans many areas of machine learning, including recommender systems, reinforcement learning, computer vision, natural language processing, optimization, causality, and operations research. Great applied research also requires robust machine learning infrastructure, another strong emphasis at Netflix.

Candidates will be evaluated to find the best fit in one of our organizations, including Content, Choosing & Conversation, Commerce or AI for Member Systems. You can find a detailed list of teams across these organizations to learn more. Applicants are encouraged to express their interest in one or multiple types of teams/ domain areas listed if your skills and qualifications are aligned. 

We are looking for individuals with the following qualifications:

• Currently enrolled student pursuing an advanced degree (PhD) in areas such as Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Economics, Computational Biology, Chemistry, Physics, Cognitive Science or a related field

• Domain expertise in one or more of the following areas: 

• Personalization & Recommender Systems:Using Transformers/LLMs for recommendations, collaborative filtering, content-based recommendation, hybrid systems, and conversational recommenders.

• Natural Language Processing (NLP): Large Language Models (LLMs), fine-tuning, in-context learning, prompt engineering, alignment, evaluation, text generation, and embeddings.
• Reinforcement Learning (RL):Offline and online RL, alignment and post-training, preference- and human-feedback-based learning, bandit algorithms.
• Computer Vision (CV): Image and video understanding, generation, and representation learning.
• Computer Graphics: 3D modeling and understanding, neural rendering, animation, and related areas.
• Reliable ML: Robustness, explainability, interpretability.
• Causal ML: Causal inference, causal discovery, double ML, policy learning, dynamic panel and dynamic choice modeling, matrix completion for counterfactuals.
• Agentic AI: Developing and evaluating agentic systems that reason, plan, and act autonomously, including tool use, retrieval-augmented reasoning, memory and goal management, and feedback-driven learning.
• Multimodal Data: Experience in large vision language models, modality fusion and alignment, multimodal retrieval. Experience handling and integrating text, image, video, audio, and other data sources.
• Model Optimization and Efficiency: Training and inference efficiency, model benchmarking, optimization techniques.
• ML Platform & Infrastructure: Designing and building scalable systems for model development, training, and deployment, managing large-scale data pipelines and distributed compute environments.
• General ML Application Engineering: Implementing machine learning solutions across various domains, end-to-end ML pipelines, from experimentation to deployment.
• Experience programming in at least one programming language (Python, Java, Scala, or C/C++)
• Familiarity developing ML models using common frameworks (e.g., PyTorch, TensorFlow, Keras) and training on GPUs.
• Familiarity with distributed training and inference paradigms and associated frameworks (eg. DDP, FSDP, HSDP, Deepspeed)
• Familiarity with end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability.
• Curious, self-motivated, and excited about solving open-ended challenges at Netflix.
• Great communication skills, both oral and written.

Nice to have:

• Comfortable with distributed computing environments such as Spark or Presto.
• Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.).

For your application to be considered complete

• You will be sent an Airtable form shortly after you submit your application on our careers site; your application will not be considered complete until you fill out and submit this form.
• Include a Resume or CV with complete contact information (email, phone, mailing address) and a list of relevant coursework and publications (if applicable).You will be asked to include a short statement describing your research experiences and interests, and (optionally) their relevance to Netflix Research. For inspiration, have a look at the Netflix Research site.
• Applications will be reviewed on a rolling basis and it’s in the applicant's best interest to apply early. The application window will remain open until roles are filled.

About the Internship Program

At Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture.

• Internships are paid and are a minimum of 12 weeks, with a choice of fixed start dates in January 2026 (Winter), May or June 2026 (Summer)  to accommodate varying school calendars. Our summer internships will be located at our headquarters in Los Gatos, CA, with limited opportunities in Los Angeles or New York depending on the team.
• This program is intended for students who will be returning to school for at least one semester/quarter following the internship to be eligible for full time employment. Conversion or return offers are based on business need and headcount, and are not guaranteed.

At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, 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 Netflix Internships is typically $40/hour - $85/hour.

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.

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.

Netflix is one of the world's leading entertainment services, with over 300 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.

Our mission to entertain the world is anchored in our content and conversation about our content, and data is a crucial component in shaping our comprehensive strategy. As we envision the future of Netflix, we're seeking an Analytics Engineer Intern to join our scaling team and multiply the impact of data practitioners across the organization. This role will leverage cutting-edge technology to build infrastructure, tools, and frameworks that enable analysts, data scientists, and business partners to access insights faster and more efficiently.

The ideal candidate for this role will have a solid foundation in data technologies, an appreciation for simplifying complex systems, and a passion for building infrastructure that enables fellow data practitioners. You're excited about creating tools and systems that multiply impact across data teams, not just delivering individual analyses.

Check out this blog post to get a better feel for what it’s like to be an Analytics Engineer at Netflix.

*Who Are You?:*

• Currently pursuing a Master’s or PhD degree in a related analytics field graduating in December 2026, Summer 2027 or later.

• To be intern-eligible, you must be returning to school for one semester or quarter post-Summer internship.

• Proficient in Big Data SQL (e.g., Spark, Trino) and pipeline orchestration (e.g., Airflow, Metaflow).
• Experienced in building reusable analytics infrastructure (data models, metric frameworks) and designing scalable self-service BI/visualization solutions (e.g., Tableau, Looker).
• A strong communicator who can develop, own, and deepen strong relationships with a wide variety of non-technical and technical stakeholders.
• Comfortable with ambiguity and able to thrive with minimal process.
• Analytically minded, bringing data solutions and business impact together while having autonomy in managing cross-functional projects.
• An individual who pays attention to the details and makes a conscious effort to understand causes instead of just the effects.
• An individual with a growth mindset who is impact-driven, and has a strong desire for growing a broad set of technical and non-technical skills.

*What will you learn?:*

• You will build scalable tools, frameworks, and infrastructure that enable data practitioners across the organization to deliver insights more efficiently.
• You will develop reusable data pipelines, automated workflows, and self-service analytics solutions that reduce manual effort and accelerate decision-making.
• You will partner with data scientists, analysts, and business stakeholders to identify scaling opportunities and translate them into technical solutions that multiply impact across teams.
• You will contribute to the evolution of our analytics platform by prototyping new capabilities and testing innovative approaches to insight delivery.

*Internships at Netflix*

At Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture.

Internships are paid and are a minimum of 12 weeks, with a choice of a few fixed start dates in May or June 2026 to accommodate varying school calendars. Conditions permitting, our summer internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the team.

At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, 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 Netflix Internships is typically $40/hour - $110/hour.

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.

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.

Netflix is one of the world's leading entertainment services, with over 300 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 part of the Video Algorithm team during this 3-month Summer internship, you will be actively developing machine-learning-based models for quality improvement of encoded video in formats such as AV1, HEVC, or H.264. Video encoding aims to reduce the data size, allowing files to be easily transferred between locations. However, it introduces undesirable artifacts at mid and low bitrates. The use of ML models alongside traditional signal processing approaches can improve their quality. The goal of the project is to curate a content database and leverage it to obtain production-ready ML models that enhance non-pristine input content so that it can be promptly used on the received sources before the encoding pipeline.

Who Are You?

• Currently pursuing a PhD in a technical field such as Computer Science, Engineering, Math, or Statistics, graduating in December 2026, Summer 2027 or later.

• To be intern-eligible, you must be returning to school for one semester or quarter post-Summer internship.

• Thrives working in complex, dynamic, and fast-moving environments.
• Articulate communicator across written and verbal communication mediums.
• Strong software development skills and feels comfortable with software engineering best practices (e.g., version control, testing, code review, etc.).
• Successful track record in Machine Learning, Video Algorithms, Video Coding research, or adjacent fields (Video Processing, Computer Vision, Video Quality).
• Solid understanding of machine learning and deep learning concepts, hands-on experience with training and evaluating ML models
• Able to program fluently in Python and C/C++.

Bonus points:

• Solid understanding of video compression and processing, including codec standards such as HEVC and AV1.
• Experience with software performance optimization on constrained hardware.
• Involvement in open-source multimedia projects (ffmpeg, etc).
• Experience with large-scale distributed systems and cloud computing

To learn more about our team, check out the following articles:

• https://research.netflix.com/research-area/video-encoding-and-quality

Internships at Netflix

At Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture.

Internships are paid and are a minimum of 12 weeks, with a choice of a few fixed start dates in May or June 2026 to accommodate varying school calendars. Conditions permitting, our summer internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the team.

At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, 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 Netflix Internships is typically $40/hour - $110/hour.

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.

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 Developer Platform sits within the Infrastructure Engineering organization to amplify the productivity and business impact of Netflix engineers by providing a cohesive developer platform that optimizes developer experience, automates workflows, manages complexity, and accelerates the development, delivery, operations, and maintenance of high-quality software. Our mission is to enable Netflix to scale effectively and evolve rapidly by providing highly reliable, performant, secure, and flexible developer tools, services, and infrastructure. Ultimately, we aim for Netflix engineers to spend less time on repetitive engineering tasks, unnecessary complexity, and undifferentiated heavy lifting so they can focus on helping Netflix entertain the world.

The Opportunity

We are looking for a highly technical product manager to drive the vision and strategy for our Application Development Platforms within our centrally supported language ecosystems: Java, JavaScript/TypeScript and Python. The initial focus will be on the Java ecosystem with expansion over time to other languages and ecosystems.

Your primary mission is to keep developers in the flow during application development for the thousands of existing services, data processing jobs and user interfaces as well as the dozens that are created each day. You will deliver well defined and supported golden paths for developers that reduce cognitive load, increase software delivery velocity, improve reliability and alleviate the toil of software maintenance.

You will be responsible for the core components that enable this development, including:

• *Application frameworks* (i.e. Spring Boot, React, FastAPI)
• *Build & test systems* (i.e. Gradle, Vite, Junit, uv, TestContainers, pytest, Jest)
• *Libraries SDLC and dependency management*
• *Stability, Performance, and Adoption of the latest supported runtime, frameworks and tools*

What You Will Do

As the Product Manager for Application Development Platforms, you will have the following responsibilities:

• *Drive Product Vision and Strategy:* Deeply understand and triangulate across customer needs, developer productivity metrics, operational data, and external industry innovation to shape the vision and strategy for Netflix’s JVM ecosystem and Java application development offerings, ensuring they maximize business and developer impact.
• *Roadmap & Alignment:* Partner closely with senior engineering leaders and stakeholders to define a forward-looking roadmap. Align on priorities and trade-offs that support Netflix’s technology strategy.
• *Execution & Delivery:* Develop product roadmaps in partnership with engineering teams that execute on your vision. Clearly articulate problems to be solved, and see features through from idea to launch.
• *Metrics-Driven Improvement:* Define key success measures (e.g., build times, time to deploy, framework migration progress, performance metrics) and drive experiments or initiatives to continuously improve those metrics, fostering a metrics-driven mindset for developer productivity.
• *User Engagement:* Create strong partnerships with Netflix engineers through regular outreach and feedback loops. Gather input via interviews, surveys, and usage data to deeply understand their workflow challenges. Champion the voice of the developer.
• *Technical Excellence & Reliability:* Drive technical excellence in our Java application framework and runtime systems. Ensure these systems are highly reliable, secure, and performant.
• *Industry Awareness & Build vs. Buy:* Stay informed about advancements in languages ecosystems, application frameworks, and build tooling. Evaluate opportunities to incorporate cutting-edge tools or practices and conduct thoughtful buy-vs-build analyses.
• *Prioritization & Focus:* Prioritize effectively to maximize impact, balancing quick wins with foundational investments, and user experience improvements with technical scalability. Maintain clarity on short-term vs. long-term goals.

What We’re Looking For

*Experience & Skills:*

• 8+ years of Product Management experience (or equivalent technical role), with a proven track record of managing and evolving a broad product portfolio and driving product vision and strategy in a complex, technical domain.
• Strong technical knowledge and depth of application development fundamentals, the JVM ecosystem, modern application frameworks, build systems, and dependency management methodologies.
• A healthy blend of deep technical knowledge with a customer-focused mindset and empathy for engineers. You must be comfortable discussing topics like design trade-offs and system quality attributes (scalability, reliability, performance, security) with engineering teams.
• Demonstrated passion for developer platforms, tools, workflows, and infrastructure, staying up-to-date on industry best practices in DevOps/DevEx.
• Strategic thinking that can connect customer use cases and pain points to innovative technology solutions, thinking holistically about the end-to-end experience.
• Outstanding written and verbal communication skills, with the ability to influence stakeholders at all levels and navigate complex organizational boundaries.
• Comfortable applying a combination of qualitative and quantitative methods to define success, prioritize problems, and measure impact.

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, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Our culture is unique, and we live by our values, so it’s worth learning more about Netflix culture.

More About Developer Platform @ Netflix

• Unifying the Netflix engineering experience with a federated platform console (video)
• Backstage in the wild (podcast)
• Telltale: Netflix Application Monitoring Simplified (techblog)
• Machine Learning for a Better Developer Experience (techblog)
• Managed Delivery: Bringing Infrastructure as Code to Spinnaker (video)

Some other links for our org:

• How We Build Code at Netflix
• Towards True Continuous Integration
• Evolving Continuous Integration at Netflix
• How Netflix Autoscales CI
• Devtools at Netflix: Culture, Speed and Innovation
• Baking Bitbucket in the AWS Cloud at Netflix

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.

Our mission to entertain the world is anchored in our content, and data is a crucial component in shaping our comprehensive content strategy. As we envision the future of content at Netflix, we're seeking an Analytics Engineer to join the Content Applied Science and Analytics team. In this role, you will partner with key content verticals–including Film, Series, Live, and Licensing–working on both ongoing strategic efforts and new content initiatives. This role will leverage cutting-edge analysis, data science, metrics, and models to drive progress in these spaces. Your role will extend beyond advising the business on content performance; you'll also be a thought partner to the diverse cross-functional teams that bring our content to life.

The ideal candidate for this role will excel at collaborating with partners across our business, using data to help our content teams create and distribute content that drives member value. They will also be a thought leader in the analytics domain, capable of transforming complex metrics and data science outputs into actionable insights.

What you will do:

• Empower New Content Initiatives: You will own the data vision for new content initiatives, defining success metrics, setting the architectural direction, and guiding the strategy for emerging formats from the ground up.
• Own Data Strategy: You will define and lead the analytics roadmap for your vertical, proactively identifying high-leverage opportunities that shape our comprehensive content strategy.
• Architect Advanced Insights: You will design and implement high-level analytical frameworks, dashboards, and custom tools that set the standard for how we measure and visualize content performance.
• Elevate Technical Standards: You will act as a technical bar-raiser for the team–mentoring peers, reviewing technical designs, and establishing best practices to ensure we are building robust, scalable solutions.

We are looking for:

• Creative Thinking: You are a creative problem solver who can look beyond the numbers to understand the art of storytelling, bringing innovative approaches to how we measure and understand content performance.
• Strategic Ownership: You operate with a high degree of autonomy, capable of owning the end-to-end vision for complex and ambiguous cross-functional projects and translating broad business goals into concrete technical strategies. Prior experience building data products, metrics, or strategies from the ground up is a strong plus.
• Technical Leadership & Mentorship: You pay attention to the details and make a conscious effort to understand causes instead of just the effects. You act as a force multiplier for the team, enjoying the process of mentoring others, conducting code/design reviews, and fostering a culture of technical excellence.
• Influential Communication: Exceptional communication with technical and non-technical audiences; you can effectively influence senior stakeholders and explain complex technical concepts with clarity.
• Analytical Rigor & Visual Storytelling: Combines grounded statistical methodology with visualization engineering to transform complex quantitative analysis into high-impact dashboards and custom data tools (e.g., Plotly Dash, Tableau, Looker) that drive business decisions.
• Technical Proficiency: Delivers scalable data solutions by merging advanced SQL and Python proficiency with data engineering workflows, ensuring reliability through engineering best practices like CI/CD, testing, and version control.

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.