Job Listings

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.

Netflix is the world's leading internet streaming service with over 250 million members in 190 countries. Our members enjoy a wide variety of streamed videos per day, using over 1000 types of devices, generating more than a third of downstream Internet traffic in North America. The Content Knowledge Graph team within Data Science & Engineering equips scientists, engineers, and business executives with a global understanding of the entertainment industry “on & off-service”. Our flagship product, Netflix KG (“Hitch”), a data and analytics foundational layer, is a data pillar for 100s of diverse use cases across Netflix: from enabling content and marketing business executives to make better data-driven decisions to equipping AI/ML scientists with signals that power billions of daily predictions, to providing key inputs to engineering teams building business-critical applications. Hitch is a foundation for innovation that is helping to fuel Netflix’s long-term growth. 
We are looking for a Full Stack Software Engineer to own and scale our online data systems while supporting high-visibility data pipelines and products. As part of this team, you will work on a diverse tech stack to build insightful tools, apps, services, and libraries that describe the entities, interactions, and usage patterns across the Netflix Knowledge Graph. You will collaborate closely with other Data Engineers, Machine Learning Engineers, Scientists, and business analysts to build scalable access patterns for them.
Who you are:

• You would consider yourself a full-stack developer. You have experience in both backend and frontend development for a good part of your career and expertise in owning and maintaining backend services.
• You are proficient in designing, building, and operating API layers that support various front-end user experiences. Experience with GraphQL and Node.js is a big plus.
• API and SDK development: You have built, maintained, evolved, and/or sunset a variety of APIs and libraries/SDKs.
• You are proficient in working with Javascript, React, or other similar technologies. Proficiency in Python or Java is a big plus.
• Comfortable with SQL and using big data technologies (e.g. Hive, Presto, Spark, Iceberg, etc) on medium to large-scale data.
• You are willing to learn and own all areas of the software lifecycle: design, development, test, deployment, operation, and support.
• Conceptually familiar or interested in learning graph technologies (e.g. databases, data models, query languages)
• You have strong communication skills and can collaborate with cross-functional team members and partners on projects that drive high-impact outcomes
• Excited about learning new business domains, demonstrating excellence, and growing your career

What you will do:

• Work cross-functionally to build new services, tools, and data models to develop easy-to-use data access patterns for knowledge graphs.
• Building intuitive user interfaces backed by data in offline systems and APIs
• Evaluate new technologies and approaches to streamline and improve our rapid application development tooling and conventions.
• Regularly learn new systems and tools as the Netflix platform and ecosystem evolve.
• Understand business requirements and provide tools that empower teams to innovate on top of the Netflix KG
• Join a stunning team with diverse skill sets (data engineering, machine learning, analytical engineering and software engineering),  partnering closely with data science, analytics, and business counterparts

Netflix offers amazing co-workers, new technology, fascinating analytical and technical challenges, and a Freedom & Responsibility Culture that's truly outstanding. It’s worth learning more: http://jobs.netflix.com/culture
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.

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.

Netflix has been changing how people watch shows and movies, enabling on-demand access to thousands of movies and TV shows. Recently, Netflix has expanded its entertainment offering to include Live content, like Chris Rock Comedy Special, the SAG Awards ceremony or The Netflix Slam tennis match. Bringing stories in real-time to 260+ million viewers around the world is a hard challenge, demanding exceptional levels of stability and reliability from dozens of services and systems between camera and device screens.

In this role, you will support our live streaming events by focusing on cloud traffic and capacity planning (API Gateway, IPC between microservices). You will prepare and execute various load tests to ensure both individual critical applications and overall cloud infrastructure can handle sudden increases in API traffic, especially at the start of events. You will also implement end-to-end observability and visualize the data to achieve the desired availability at scale. You will impact multiple areas of the live event lifecycle, from the planning phase through testing and event launch days.

Responsibilities 

• Drive continual improvement in observability, monitoring, and scalability with the primary goal to solve the thundering herd problem with cloud traffic (API gateway, IPC between microservices) for live streaming.
• Implement, automate, execute, and analyze the results from a broad range of live streaming delivery focused functional, performance, resilience, and fault injection testing.
• Write and review code, develop documentation and capacity plans, and debug the hardest problems on some of the largest and most complex systems in the world
• Coordination, collaboration, and partnership across multiple stakeholders for the smooth execution of live-streaming events
• Participate in an on-call rotation and be able to work with flexible hours based on the live events schedule

Qualifications

• 5+ years of service reliability/operational experience running large-scale, high-performance systems & internet services with a focus on traffic at scale.
• Knowledge of and proven experience with L4 Load Balancer,  HTTP cache, and reverse proxy technologies.
• Expert-level knowledge of Unix or Linux systems and TCP/IP network fundamentals.
• Proficient understanding of networking principles, transport, and application protocols, especially DNS, TLS, and HTTP(s) etc.
• Proficient in a programming language such as Go, Python, Rust etc.
• Experience with using real-time and Big Data analytic processing technologies (Kafka, time series database and Presto/Trino, Spark SQL, etc)
• Ability to work in a highly collaborative environment and to communicate effectively with internal and external partners
• Preferred - B.S. in Computer Science, Electrical or Computer Engineering (or equivalent professional experience)

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 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.

With over a quarter billion members in over 190 countries and a billion hours of streaming each month, Netflix is the world’s leading online entertainment company. Netflix continues to shape the future of entertainment by developing personalized ways for members to discover and enjoy a rapidly expanding catalog of content.

The Machine Learning & Inference Research (MLIR) team works on core methodological development in areas of strategic importance to Netflix and translates this research into actionable impact by partnering with other teams (e.g. data science, engineering, design, product). MLIR engages with the external research community spanning ML/AI, statistics, economics, and operations research through conferences, academic collaborations, and publications. At the same time, it engages with the internal Netflix community by disseminating research learnings, advising on the incorporation and practical implementation/scalability of new methods and technologies and partnering on translational applied research with direct impact to Netflix product and content priorities. In success, the MLIR team’s expertise and foundational research influences and steers a growing number of projects and roadmaps and cultivates and advances in-house world-class expertise. 

What you'll do

We are seeking an experienced leader to define and execute a strategy that brings cutting-edge methods and holistic thinking to Netflix. The leader must balance a portfolio of foundational/methodological developments spearheaded by the team and collaborative projects with stakeholder teams that directly benefit from these developments. Such collaborations span applied research (such as exploring innovations to the member experience or analyzing Netflix data for actionable insights), devising ambitious yet technically feasible innovation roadmaps, and helping craft technical approaches to advance these roadmaps. To be successful, the leader must be deeply familiar with the business needs, adept at translating these needs into a long-term research agenda, galvanize other teams around this agenda, and committed to fostering an open environment of collaboration, innovation, and intellectual excitement. 

Specifically, you will:

• Inspire and lead a senior team of research scientists to shape machine learning and causal inference excellence at Netflix.
• Work closely with a wide range of partners (scientists, engineers, designers, product managers, finance/strategy, etc.) to maintain a strong portfolio of projects that impact our members and our business, often in collaboration with business-domain data science and engineering teams.
• Uplevel our research best practices and our organizational expertise in machine learning and causal inference and the latest developments therein.
• Help prioritize and balance competing priorities for the long term benefit of Netflix
• Be a leader and role model within the Data & Insights team, including enriching Netflix’s broader machine learning & experimentation community.
• Build a successful and highly productive research program that includes research scientists, external academic collaborations, and research interns.
• Boost the visibility of Netflix research through research products such as external presentations and publications aligned with Netflix’s interests in top tier venues and by forming connections with academic labs and researchers.

We're looking for

• You have made meaningful impacts and brought clarity to complex or ambiguous technical problem spaces. You exhibit excellent judgment in developing a portfolio of high-risk/high-reward, long-term projects and leading a team to execute them.
• You possess outstanding oral and written communication skills that resonate within and beyond your team. You have a proven track record as a trusted partner to both technical and business stakeholders.
• You have successfully operated in a company where collaboration and integration with other teams across multiple disciplines are essential to your team’s success.
• You are pragmatic and maximize impact through careful consideration of the trade-offs that business-domain teams must make.
• You have experience and demonstrated success in building and leading a research program, in retaining high-caliber applied research teams, and in fostering an inclusive team culture.
• You have proven experience moving the business forward, uplifting the broader team and orchestrating thought leadership that raises the bar for the organization.
• You have a Ph.D. in a quantitative field such as Mathematics, Computer Science, Statistics, Physics, Operations Research, Economics, etc.

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 $610,000 - $1,870,000.

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.

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 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.

In Nov 2022, we launched a new lower-priced, ad-supported tier for our customers. We are now continuing to build on our goal of providing more choice for consumers and a premium, better-than-linear TV brand experience for advertisers. That said, we are looking for the founding members of this new business area for Netflix! 

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

The Ads DSE Measurement Team is responsible for building audience insights and measurement solutions from the ground up. We partner closely with the campaign performance and effectiveness teams, as well as consumer insights, product, and sales teams, to understand core advertiser needs. Our goal is to develop both foundational and innovative solutions that address these needs effectively.

We are seeking a Data Scientist to tackle foundational challenges in the ads space, such as lift solutions, conversion, and attribution modeling within the ads measurement domain. This role offers the opportunity to collaborate with a diverse range of cross-functional business partners to identify new opportunities, design, execute, and analyze experiments, and deliver impactful solutions for our advertiser partners. Strong measurement techniques are essential for the long-term success of our ads business, and you will play a key leadership role in driving this area for Netflix.

In this role, you will:

• Lead the research and experimentation efforts to measure ad campaign performance and effectiveness for the Ads Platform. Autonomously identify and pursue research initiatives with significant business impact, and make compelling cases for prioritization and resource allocation.
• Disambiguate complex problems to propose clear evaluation frameworks and success criteria.
• Cultivate strong partnerships with cross-functional stakeholders, including product, engineering, operations, design, and consumer research teams.
• Execute and present robust research and insights, disseminate knowledge, and rally support for innovative ideas.
• Foster a collaborative, innovative, and intellectually stimulating environment.
• Deliver technically excellent solutions using modeling and ML, data exploration and strong documentation with an eye toward impact and contribution to the larger DSE community.
• Be a thought leader for Product, Strategy and Engineering teams in the areas of measurement for Ads.

We are looking for:

• Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field.
• Leadership experience with large-scale data with proven ability to lead cross-functionally, work independently and galvanize others .
• Strong statistical knowledge and intuition - having been utilized in experimentation or other product analytics settings.
• Strong product knowledge and intuition - having utilized in consumer/user interface settings or internally serving technical audiences such as engineers.
• Demonstrated ability to communicate and drive product change across a variety of stakeholders.
• Strong SQL skills and Quantitative Programming skills in Python or R
• Ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels.
• Mentors, brainstorms with, and enables others, especially within your functional area
• Actively builds and fosters technical communities internally (e.g., horizontal forums, seminars, and summits) and externally (e.g., conference participation).

Exemplary stewardship of Netflix’s culture and values, particularly in terms of selflessness and ensuring open debate of ideas and encouraging inclusion of a variety of perspectives regardless of seniority.

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.

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 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.

At Netflix, our mission is to entertain the world by connecting our members with an extensive library of stories from around the globe. We are revolutionizing international storytelling by connecting 260+ million members in over 190 countries, across 30+ languages, to the movies and TV shows they love. A crucial element in forging these connections is providing rich insights about our shows and movies and highlighting the unique ways they appeal to diverse audiences.

The Promotional Media Data Science and Engineering team is at the forefront of Netflix’s efforts to effectively promote titles and enhance the content discovery experience. Our team partners closely with Netflix's world-class creative teams to amplify and scale promotional strategies for our members. We are seeking an experienced leader in data science and analytics to lead a team of experts in Causal Inference, experimentation, analytics, and optimization. In this rare opportunity, you will solve novel problems that will shape the future of promotion and discovery at Netflix

*Responsibilities*

• Oversee end-to-end causal inference, experimentation, analytics, and overall measurement of promotional strategies.
• Partner with cross-functional teams to leverage insights generated from rigorous measurement frameworks to optimize promotion strategies and enhance member experience and value.
• Lead, mentor and inspire a team of data scientists and analytics engineers to consistently deliver business impact
• Learn and innovate closely with world-renowned creatives, blending science and creativity.
• Cultivate strong relationships with cross-functional partners to provide strategic insights, drive influence, execute complex initiatives, and support long-term technical visions.

*About you*

• Demonstrated success in designing and delivering data science and analytics projects within highly ambiguous and complex business environments, meeting scalability requirements.

• High proficiency in Causal Inference and standard tech stack (Python, SQL)

• Master’s or PhD degree in Statistics, Machine Learning, Computer Science, Economics, Engineering or other relevant fields
• 6+ years of hands-on data science and analytics experiences (3+ years with a Ph.D. in relevant fields) with 2+ year of experiences mentoring and leading data scientists
• Strong judgment and effective entrepreneurship in identifying and framing opportunities in greenfield areas
• Tenacious and flexible and can effectively organize and lead cross-functional projects, overcome challenges, and propose new solutions
• Passionate about the blend of art and science and excel at partnering with business and creative teams as much as you do with technical teams
• Exceptional verbal and written communication skills with a wide variety of technical, business, and creative stakeholders

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 $360,000 - $920,000.

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

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

Tags: ResearchSite

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 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.

Netflix is enjoyed by more than 200 million members globally, entertaining new audiences every day.  Securing our members data and accounts appropriately is key to maintaining a high level of trust with our customers. In addition, securing our service and guarding against fraudulent behavior is essential to enable us to scale our business effectively.  

The Security Data Engineering team builds data products which provide visibility into security and fraud 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 fraud like account takeovers, unauthorized third party apps, account sharing fraud etc. This requires a holistic understanding of members' activity patterns across various dimensions like geography, device types, content types and more. 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 intuitive 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 the Netflix product. 

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. 

Who you are:

• Passionate about building intuitive data products to mitigate security and fraud risks
• Highly proficient in at least one of Java, Python or Scala with at least 7 years of software/data engineering experience
• Advanced level SQL skills in a complex data environment
• At least 5 years of experience in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large scale data sets
• Comfortable working cross functionally with multiple types of stakeholders groups
• Able to successfully lead large, complex systems design and implementation challenges independently
• Prior experience in the security and fraud space is strongly preferre

​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 fraud and 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

A few more things to know: 

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

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

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 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.

Netflix is re-imagining entertainment with over 270 million paid memberships in over 190 countries on millions of devices. One of the ways we do this is by using insights from data to optimize for the best customer experience. The Growth Insights and Foundations Data Engineering team ensures the availability of critical data to enhance "in-the-moment" experiences across various product canvases for both current and future Netflix members.
In this role, you will partner closely with data scientists and other engineers to build low-latency data products capable of powering algorithms and machine learning models that run across our commerce, identity flows, and more. This role is ideal for an individual with an analytically bent mind coupled with a robust engineering background who can develop highly available and reliable distributed data systems and services to ensure the timely delivery of high-quality data for use in the Netflix product.
About you:

• You are proficient in at least one major language preferably on the JVM stack (e.g., Java, Scala) and SQL (any variant). You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies.
• You have a product mindset and are curious to understand the business's needs. You have a naturally collaborative style to work with product management, data science, engineering, etc in service of these needs.
• You possess a strong data intuition and know how to apply your analytical skills and data engineering fundamentals to support building high quality data products.
• You have experience building applications that use  large-scale distributed systems, data processing frameworks (batch and real-time) e.g. Spark, Flink, etc., and storage solutions.
• You are passionate about making data available for self-service, and wider integration.  You have knowledge about transport protocols and are well-versed with building APIs/services and frameworks used for them e.g. Spring, gRPC etc.
• You have experience in supporting and maintaining products that run 24x7, ensuring high availability and reliability.
• You can craft scalable systems and solutions to realize a range of product and engineering goals.
• You have a strong operational awareness and design multi-tenant systems that can handle high-scale and high-throughput demands while being easy to operate, monitor, scale, and maintain.
• You prioritize observability in your designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolution.
• You own what you build, beyond just your code and have a passion for quality.
• You are comfortable working in the most agile of environments with vague requirements. You are nimble and can pivot easily when needed. You are unafraid to take smart risks.
• You relate to and embody many aspects of Netflix's Culture. You love working independently while also collaborating and giving/receiving candid feedback.

Learn more about the team, and technologies you’d get to work with!
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.

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 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.

Now is an amazing time to join Netflix as we seek to entertain the world. We have over 250 million paid members in over 190 countries, and we won’t stop there. Games are our next big frontier and an incredible opportunity for us to deliver new experiences to delight and entertain our quickly growing membership. You will be joining us at an exciting time as we roll out more games on both mobile and cloud and be in a position to help us redefine what a Netflix subscription means for our members around the world.

Data Science and Engineering (‘DSE’) at Netflix is aimed at using data, analytics, and sciences to improve various aspects of our business. We are looking for a Data Engineer to join our Games DSE team, supporting end-to-end analytics & data needs for the Games space. This role will be partnering closely with our Game stakeholders to develop software and data solutions that enable analysis across the entire library of games.

What You'll Do:

In Games Product:

• You’ll take ownership and increase automation and scale of complex data sets that drive use cases by our analytical partners. This includes games ‘impression’ data (how are users finding our games?) as well as game platform data (what is the usage and health of our game backend features)
• You’ll build robust data pipelines that output very high data quality at scale using any combination of Spark, Flink, Python and Scala.
• You’ll collaborate with our logging infrastructure team to develop and maintain key schemas for use by all games.

Who You Are:

• 7+ years in software development, with experience building systems that collect or process data for use in analytics products.
• Enjoy a high level of autonomy in managing cross-functional engineering projects. We value people over process.
• Have experience building production data pipelines using Spark, Flink or Hive/Hadoop. Have hands-on experience with schema design and data modeling.
• Have programming proficiency in Python, or Scala/Java. You have a software engineering mindset and strive to write elegant, maintainable code. You may even be a software engineer with a focus or passion for data-driven solutions.
• Have strong SQL skills and knowledge
• You have excellent communication in sharing context to effectively collaborate with analytical partners, domain experts, and other consumers of your work, preferably in supporting an engineering or product function. We like to collaborate across teams, and so do you.
• You are ambitious and willing to take action but not stubborn. You have the awareness to recognize when you're wrong and move past your own mistakes. You are humbly confident in yourself and your work.

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. 

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 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.

Netflix is revolutionizing the entertainment industry with world-class technology. We serve 300+ million members across 190+ countries, delivering billions of hours of great movies & TV shows every month in 30+ languages. To meet our members’ entertainment needs, Netflix has invested in scaled Content Production & Promotion workflows. With assistance from creative supervision and member feedback data, we have built tools & processes that use technologies like Computer Vision, Graphics, Machine Learning & Generative methods to enable our creators to tell the best version of the story they want while allowing our studio to scale further.

The Content Production & Promotion Data Engineering team, within Data Science and Engineering, is responsible for enabling our partners to develop data-driven workflow tooling that shapes the future of content production and promotion at a global scale. In collaboration with our partners, we unlock hidden insights and enable capabilities by implementing AI and Machine Learning techniques on voluminous and novel datasets (including media like artwork and video) and expose resultant datasets via user friendly API’s that hide the underlying complexity.

We are looking for an experienced Machine Learning Software Engineer with a background in Computer Vision to help us build and ship AI workloads at scale.

What will you do?

• Work alongside researchers, engineers, data scientists, and product managers in designing and building custom datasets for the purpose of training and fine-tuning generative models in a multi-modality fashion with a focus on video.
• Develop end-to-end frameworks and tools to generate said datasets by leveraging the optimal resources needed to achieve the best possible performance at a reasonable cost.
• Contribute to broader tooling initiatives that aid in the storage, cataloging, discovery and overall management of ML media.
• Serve as a key thought partner for stakeholders, cross-functional partners, and our diverse set of team members regarding large/novel datasets in order to drive incremental value to our Media ML system architecture.
• Engage with the Data Engineering and ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand.

About you

• Beyond talented, you are curious, creative, and tenacious.
• You are not bothered by ambiguity, you find joy in finding patterns in the most complex of environments and bringing order into chaos.
• You have a strong foundation in distributed system architecture (with excellent judgment on specific components such as GPU/CPU) and experience in large-scale batch inference and data processing.
• Excellent software design and development skills in Python. Experience with SQL along with Scala or Java desired.
• Experience with preparing and normalizing media data for Machine Learning workloads using libraries such as OpenCV, FFMpeg, Pytorch, HugginFace.
• You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences.
• 4+ years of full-time work experience in one or more relevant ML/SWE/Data Engineering roles.

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.

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.