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.

As Netflix grows, we keep advancing innovations in personalization and discovery, experimentation and decision-making, understanding our members and our titles, and backend infrastructure. These developments constantly create new opportunities for research to drive meaningful impact. By exploring the frontiers of AI/ML and intersecting fields, the Machine Learning and Inference Research team turns these opportunities into tangible benefits for our members and our business.

The Machine Learning and Inference Research team is a dedicated research team building up Netflix's technical capabilities by tackling fundamental research questions tied to our most important challenges and partnering closely with teams across the business to translate research into impact at scale. As a member of the team, you will leverage your technical expertise to help shape roadmaps, collaborate across functions, and bring new ideas from exploration to impact. You will also engage actively with the broader research community by publishing at relevant venues, presenting at conferences, mentoring interns, and fostering academic collaborations.

We are seeking a skilled Researcher who can contribute to and execute a strong research agenda with both internal and external impact, disseminate knowledge effectively, collaborate with colleagues to deliver tangible business value, and help foster an open environment of innovation, intellectual rigor, and curiosity. We are looking in all areas of machine learning, reinforcement learning, artificial intelligence, causal inference, optimization, statistics, economics, and operations research.

What you bring

• Ph.D. in a relevant area, with some post-Ph.D. experience (3+ years) in industry and/or academia.

• Experience in applying research (especially yours) to transform real-world problems in collaboration with engineering and business teams.

• Solid research experience, in industry and/or academia, including as evidenced in peer-reviewed publications.

• Demonstrated technical expertise and a track record of driving impact. Effective at working with stakeholders for collaboration, guidance, problem-solving, and decision-making.

• Strong judgment in identifying and framing ambiguous research and business problems and the links between the two.

• Passion for collaboration and building strong relationships with colleagues and stakeholders to tackle cross-functional problems.

• Strong communication with technical, non-technical, and mixed audiences.

• Self-motivated with an ability to thrive and to lead your own projects with minimal oversight and process.

• Shares knowledge and guides thought on the adoption of new methods. Actively mentors others, such as interns or junior peers.

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.