Research Engineer - User Identity Knowledge Graph
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
We are seeking a visionary and impact-driven Research Engineer to join our team of exceptional data scientists, researchers and engineers to lead the creation of Netflix’s User Identity Knowledge Graph – a foundational, 0-1 initiative that will transform our understanding of our user base, and tackle the challenge of uncovering “Who is in front of the screen?”. This is an unique opportunity to define and shape a critical problem space from scratch, architect the applied research roadmap, and deliver insights and solutions that can power targeted commerce, personalization, and more across the Netflix ecosystem.
In this role, you will:
Lead the 0-1 development of the User Identity Knowledge Graph, defining the vision, technical strategy, and research agenda for this greenfield initiative.
Shape the problem space: Identify and articulate the key challenges and opportunities in modeling user knowledge at scale, and translate ambiguous business needs across Netflix business domains into concrete research and engineering objectives.
Drive applied research: Design, prototype, and deploy novel machine learning and knowledge representation models that capture rich, multi-faceted user information.
Set the research roadmap: Prioritize and sequence research efforts, balancing long-term vision with near-term impact, and ensure alignment with business goals.
Collaborate cross-functionally: Partner with data scientists, engineers, product managers, and stakeholders across Netflix to ensure solutions are robust, scalable, and impactful.
You have:
Proven technical leadership in 0-1 or highly ambiguous problem spaces, with a track record of shaping research direction and delivering impactful solutions.
Deep expertise in knowledge graphs and/or graph neural nets, modern ML/DL frameworks (e.g., PyTorch, TensorFlow) and large-scale data processing (e.g., Spark, PySpark, Scala etc) as applied to end-to-end ML system development.
Exceptional communication skills, able to clearly articulate complex technical concepts and influence cross-functional partners.
Strong ownership mindset and comfort with ambiguity, thriving in environments with minimal structure and high autonomy.
PhD in Computer Science or a related field (or equivalent research experience) is strongly preferred.
Passion for impact: Demonstrated ability to connect research outcomes to business value and product strategy.
If you are excited by the challenge of building something foundational from the ground up, and want to shape the future of user understanding at Netflix, we’d love to hear from you.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusionis 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.
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Research Engineer - User Identity Knowledge Graph
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
We are seeking a visionary and impact-driven Research Engineer to join our team of exceptional data scientists, researchers and engineers to lead the creation of Netflix’s User Identity Knowledge Graph – a foundational, 0-1 initiative that will transform our understanding of our user base, and tackle the challenge of uncovering “Who is in front of the screen?”. This is an unique opportunity to define and shape a critical problem space from scratch, architect the applied research roadmap, and deliver insights and solutions that can power targeted commerce, personalization, and more across the Netflix ecosystem.
In this role, you will:
Lead the 0-1 development of the User Identity Knowledge Graph, defining the vision, technical strategy, and research agenda for this greenfield initiative.
Shape the problem space: Identify and articulate the key challenges and opportunities in modeling user knowledge at scale, and translate ambiguous business needs across Netflix business domains into concrete research and engineering objectives.
Drive applied research: Design, prototype, and deploy novel machine learning and knowledge representation models that capture rich, multi-faceted user information.
Set the research roadmap: Prioritize and sequence research efforts, balancing long-term vision with near-term impact, and ensure alignment with business goals.
Collaborate cross-functionally: Partner with data scientists, engineers, product managers, and stakeholders across Netflix to ensure solutions are robust, scalable, and impactful.
You have:
Proven technical leadership in 0-1 or highly ambiguous problem spaces, with a track record of shaping research direction and delivering impactful solutions.
Deep expertise in knowledge graphs and/or graph neural nets, modern ML/DL frameworks (e.g., PyTorch, TensorFlow) and large-scale data processing (e.g., Spark, PySpark, Scala etc) as applied to end-to-end ML system development.
Exceptional communication skills, able to clearly articulate complex technical concepts and influence cross-functional partners.
Strong ownership mindset and comfort with ambiguity, thriving in environments with minimal structure and high autonomy.
PhD in Computer Science or a related field (or equivalent research experience) is strongly preferred.
Passion for impact: Demonstrated ability to connect research outcomes to business value and product strategy.
If you are excited by the challenge of building something foundational from the ground up, and want to shape the future of user understanding at Netflix, we’d love to hear from you.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusionis 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.