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 launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point, while also creating a compelling path for advertisers to reach audiences that are deeply engaged. We wrapped up our first two years of the journey and are well into year three with more exciting things to come!

Our Team

The Ads Platform Engineering teams build advertising systems and integrations that powers the delivery of ads using our world class content delivery ecosystem. We use a number of Netflix investments and innovations to power our ads - unique mix of client and server side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.

Our team is new and yet faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.

We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.

Skills & experience we’re seeking:

• General understanding of Ad domain.
• Strong understanding of UX and UI design principles
• Strong knowledge of HTML, CSS, JavaScript, Node.js
• Experience with front-end frameworks and libraries, such as React, Angular.js, and Vue.js
• Experience interfacing with REST APIs and GraphQL End Points
• Experience working in a cloud based environment
• Experience with Fullstack development – exposure to REST APIs
• Experience with version control systems such as Git, SVN, etc
• Demonstrated self-starter who is motivated to learn and is at ease working as part of a team of highly talented professionals
• Demonstrated excellence of analytical and problem solving skills
• Demonstrated excellence in written and verbal communication
• Understanding database concepts and data modeling capabilities
• Developing through all phases of the development lifecycle, from initial technical designs, implementation, testing, to production deployments.
• Experience in test driven environments
• The ability to quickly learn new features, technologies, and to communicate effectively with various business owners, technical staff members, and multi-functional teams.

Nice to haves:

• General understanding of the advertising marketplace and landscape.
• Experience working in the CTV space and knowledge of its unique constraints.

More about Netflix:

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

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.

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.

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.

About the team

Ads Data Engineering team sits at the core of building a data ecosystem that will power Netflix’ understanding and decision making about what impact ads have on our business. This team’s main focus is to build rich, connected, and easily accessible data products about ad inventories, forecasting, targeting, ad serving, pacing and much more. We are looking for passionale, mature, and curious software engineers with strong data intuition, analytical mindset and ad ecosystem experience, to contribute to the team’s impact in a quickly evolving.

We are hiring for several different roles, ranging from senior to staff level for this team.

Who are you?

• Beyond talented, you are curious, creative, and tenacious.
• Sharp communicator who can break down and explain complex data problems in clear and concise language.
• You have an extensive background and strong technical expertise working with data at scale, experience with advertising data (preferred) and understand how to build for privacy, and business impact
• You have a high tolerance for ambiguity and fast-changing context
• Hands-on experience building batch or streaming production data pipelines, ideally using one or more distributed processing frameworks such as Spark, Flink or Hive/Hadoop
• Knowledge in data modeling and establishing data architecture across multiple systems
• Thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
• Create code that is understandable, simple, and clean, and take pride in its beauty.
• Love freedom and hate being micromanaged. Given context, you're capable of self-direction.
• Passionate about data quality and delivering effective data to impact the business.

What will you do?

• Architect, strengthen, and expand the core data products  that scale our Ads business.  You’ll get on a team of talented data engineers and envision how all the data elements from multiple sources should fit together as a whole, and then execute on that plan.
• Fully own critical portions of Netflix' Ads data products. Collaborate with stakeholders to understand needs, model tables using software engineering and data warehouse best practices, and develop large scale data processing solutions to ensure the timely delivery of high quality data.
• Partner with Analytics Engineers, Data Scientists, and Software Engineers to create data products that will serve analysis, ML and reporting needs intuitively
• Develop best practices for governance of data sets with sensitive information
• Build strong and collaborative partnerships with data scientists, analytics engineers, and Machine Learning practitioners

What (ideally) do you know?

• Domains related to advertising, data privacy, GDPR
• Data warehousing, data modeling, and data transformation for both batch and streaming
• Hands on command programming languages such as python, scala or java as well data exploration using sql
• Expert at building performant data pipelines and optimizing existing workflows for new features
• Big Data tech - Hadoop, Spark, Flink, Stream processing, Hive, Presto, etc.
• Experience with sourcing and modeling data from application APIs
• Team based software development tools and best practices

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.

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 Creative Compute and Storage Software Services team designs, develops, and delivers an in-house infrastructure platform to support the growing need of creative productions. As we expand our content creation globally, we seek the best and brightest engineering talent to be part of our growth.

Our team is looking for a Senior Software Engineer to be part of the design and development of our purposefully developed infrastructure platform. You will work with internal engineering teams, technical creatives, production teams, and external vendors to deliver amazing technology experiences for our creative users. We are looking for an experienced engineer who brings a broad set of technical skills and achievements, a development and automation-focused mindset to solving problems, and unique career and life experiences to join our teams as we continue to evolve entertainment worldwide.

Be sure to review our culture page and long-term view to learn more about the unique Netflix culture and the opportunity to be part of our team.

The Role

As a Senior Software Engineer focused on developing our infrastructure platform for Creative Compute & Storage Software Services, you will play a key role in the design and implementation of solutions which improve our ability to manage a worldwide platform in support of cutting-edge creative workflows, enhancing our global control plane, and efficiently orchestrating infrastructure resources to maximize their impact. In this role, you’ll collaborate cross-functionally with engineering, product, and creative teams to develop world-class studio solutions that power the next generation of content creation.

In this position, you will have the opportunity to work in a wide variety of areas, such as:

• Designing orchestration of compute, disk, network, and other resources across globally distributed systems
• Integrating with core Netflix technologies and third-party solutions to deliver a cloud provider for studio needs
• Developing and advancing core VM, container, network, and storage technologies to support complex creative workflows

You will be successful in this role if you enjoy:

• Being self-motivated, working independently, and partnering with a diverse group of engineers and product managers across different functional areas and organizations
• Empowering other engineers by building and operating robust, scalable, and highly available infrastructures, with a focus on developer experience, observability, and operational excellence
• Thriving in ambiguity, diving deep to understand problems and customer pain points, and solving them using appropriate technologies
• Being an evangelist for high quality code and engineering best practices.
• Assisting in the career development of others, actively mentoring individuals, and helping build technical communities across the organization
• Living the Netflix’s culture and thinking you would thrive here

Required Skills

• Have 5+ years of expertise in Go, Java, or similar object-oriented languages, with confidence and experience in debugging and problem-solving skills
• Have a demonstrated history in designing, constructing, and managing large distributed systems with high availability, fault tolerance, and performance that are spread across multiple global regions and networks
• Have solid experience in setting technical directions for engineering projects, making architectural decisions, and influencing partner and cross-functional teams
• Familiarity with Linux and Linux systems programming
• Experience with IaaS providers such as AWS, GCP, and VMware

Bonus Skills

• Proficient with gRPC API design and implementation
• Working experience with Kubernetes and PaaS offerings such as Heroku and CloudFoundry
• Working experience with KVM, QEMU, libvirt, OpenFlow, Open vSwitch

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 $388,000.00 - $558,000.00. This compensation range will vary based on location.

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

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

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

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

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

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

Netflix has been changing the way people watch shows and movies, and we've built a global Content Delivery Network called Open Connect, which sets the standard for video delivery.  We have also recently embarked on a journey to expand into cloud games, stream our content live, serve ads, and more. All this creates an exciting variety of opportunities and technical challenges.

To embrace all these challenges, we are looking to add a software engineer with expertise in building scalable distributed systems solutions, informed by analytics, to the Open Connect Control Plane team to continue to craft the scalable, reliable systems needed to build and scale all our offerings.

The role involves building:

• Cloud services that customers directly hit when they press ‘Play’.
• Algorithms that smartly steer customers to Open Connect appliances such that they have the best possible Quality-of-Experience, taking into account network latencies, resource availability, and other factors.
• Algorithms to understand and optimize hardware utilization and cost efficiency, evaluated against intuitive and business-critical performance metrics.
• Operational knobs and tools to quickly diagnose and fix problems as they arise.

We spend our time trying to answer questions like these:

• What do we need to build in order to be a cost efficient and resilient platform?
• How do we design our models and systems to adapt appropriately to heterogeneous resource availability, and demand, including in real-time?
• How do we build scalable solutions that automate deploying content to servers in our CDN globally as fast as possible, while not impacting performance metrics?
• How do we build knobs/visibility/alerting to effectively and scalably operate complex systems?
• How do we make our optimization approaches easy to operate and understand?
• What are the performance metrics we can evaluate our systems against over-time?

We are looking for someone who identifies with the following:

• You build robust, responsive, and scalable systems.
• You care about building quality software that your teammates can support.
• You are familiar with parametrizing your problem and optimization algorithms.
• You have a passion for operational excellence, educating others, and rigor.
• You use a data-driven approach when helpful to inform your design decisions.
• You are comfortable with ambiguity.
• You are able to iterate quickly on ideas and incorporate feedback.
• You believe that fostering an inclusive environment helps everyone do their best work.

Basic Qualifications:

• Distributed Systems Experience (e.g. Java).
• 5+ years of software development.
• Experience building and operating business-critical, real-time systems at scale.
• Basic background in networking concepts.
• Analytics experience (e.g. experience with Python or SQL or Notebooks, etc.).

Nice To Have:

• Behavioral modeling (e.g. experience with Tensorflow, Spark, Presto, etc.).

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 $388,000.00 - $619,000.00. This compensation range will vary based on location.

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

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

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

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

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

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

The Content and Business Products team builds technology to scale Netflix's content operations from concept to streaming. We create systems and services that enable teams worldwide to plan, produce, distribute, and promote our titles. This role sits within the Content Foundations team, which creates both end-user applications and developer platforms that ensure reliable data and efficient workflows across our content lifecycle.

We are looking for a Technical Product Manager to drive the strategy and evolution of our application development platforms. Your goal is to reduce cognitive load for engineers by abstracting infrastructure complexity and integrating AI-native capabilities into our foundational systems. You will partner closely with engineering to simplify the software development lifecycle, transforming disparate tools into a seamless 'paved road' that accelerates innovation. This is a rare opportunity to build at the intersection of massive scale and developer experience, directly impacting how content is created, managed, and delivered to hundreds of millions of members worldwide.

What You Will Do

• Define Platform Strategy: Drive the long-term vision and roadmap for foundational application platforms, balancing immediate engineering needs with long-term architectural shifts (e.g., integrating AI-driven development workflows).
• Simplify Developer Experience:  Identify and eliminate friction points for Netflix engineers. Deliver cohesive managed runtimes and developer solutions that enable teams to build complex, stateful applications without managing underlying infrastructure.
• Champion a "no-ops" mindset where platform tooling abstracts operational complexity.
• Accelerate Adoption: Partner with engineering leaders across Content and Studio teams to drive migration from legacy systems to modern platforms
• Measure Success: Define and track metrics related to platform reliability, and adoption, ensuring our investments deliver measurable improvements in engineering productivity.
• Evangelize the Platform: Act as the primary advocate for the application developer platform. Author strategy memos and represent the team's work to senior leadership.

What We’re Looking For

• 7+ years in Product Management building and scaling technical developer platforms, or workflow automation tools
• Deep technical fluency in distributed systems, event-driven architecture, and the software development lifecycle (SDLC) with the ability to debate architectural trade-offs with engineering leads
• Developer-Centric Mindset: You view internal platforms as products that must delight their users. You understand the high cost of context switching and are dedicated to removing friction from engineering development
• Strategic Thinking: Ability to Connect technical platform capabilities to broader business goals
• High AI Literacy: Experience launching or integrating AI-enabled developer tools (e.g., coding assistants, AI agents) or leveraging AI to optimize workflow automation.
• Influence without authority: Proven ability to align cross-functional teams and drive organization-wide change management and platform adoption.
• Communication skills: Excellent written and verbal communication, with the ability to translate complex technical concepts for diverse audiences.

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 $310,000.00 - $545,000.00. This compensation range will vary based on location.

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

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

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

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

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

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

The Content & Conversation Modeling team delivers high-leverage ML solutions using Netflix’s unique media data, driving decisions across content strategy, acquisition, scheduling, and advertising. Our models are used to predict engagement, forecast title performance, assess catalog strength, and so much more. We are looking for a senior machine learning scientist to develop, optimize, and deploy scalable ML solutions that power content decisions at Netflix. 

In this role, you will:

• Innovate on a suite of predictive models to help inform our content strategy.
• Be a thought partner with our content strategy teams as we continue to evolve our approach to content valuation, scheduling, and performance.
• Partner closely with our analytics teams as they leverage our models on the ground both in the US and globally.
• Own the end-to-end ML model development lifecycle, from ideation and feature engineering, to model training, evaluation, deployment, monitoring, and continuous improvement.
• Inform and influence data and ML infrastructure development through partnership with data engineer, ML Ops, and ML Platform teams.
• Live Netflix values while bringing a new perspective to continue improving our culture.

To be successful in this role, you have:

• An ability to navigate ambiguous problem spaces with a passion for translating them into practical technical solutions, including a track-record of delivering business solutions leveraging Machine Learning.
• Exceptional communication skills. Able to explain complex technical concepts clearly to cross-functional partners with differing technical backgrounds.
• Deep familiarity with the ML lifecycle and strong technical judgment when assessing different solutions for deploying models in production.
• A passion for scaling your ML solutions in collaboration with your team. You seek to build modularly, for resilience, and in ways where others can take on your code when you’re away.
• Strong experience in Python and a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow, MetaFlow, JAX)
• An advanced degree (MS or PhD) in Computer Science, Economics, Physics, Statistics, Mathematics, or a related technical field with a focus on machine learning and predictive modeling.
• Relevant experience in one or more machine learning roles.
• An appreciation of the creative and entertainment industry is definitely a plus.

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 $300,000.00 - $537,000.00.

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

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

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

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