Research Scientist - Machine Learning and Inference Research

Job Description

Research Scientist (L6) - Machine Learning and Inference Research

Netflix is one of the world's leading entertainment services with over 260 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.

As Netflix continues to grow, we are venturing further into exciting new innovations in personalization and discovery, experimentation and decision-making, understanding our members and our titles, backend and infrastructure, and more, all driven by research at the frontiers of ML and its many intersections with adjacent fields.

The Machine Learning and Inference Research team is a dedicated research team designed to build up Netflix's technical capabilities by diving deep and exploring research questions aligned with the biggest challenges at Netflix while partnering with teams across the business to bring these capabilities to life. As a member of the Machine Learning and Inference Research team, you will have the opportunity to drive and execute bleeding-edge research while working in close partnership both with other researchers in the team and with partners in a wide range of teams across product, growth, and content. You will leverage your expertise in the frontiers of ML to influence the direction of company roadmaps and to work collaboratively cross-functionally to prototype, test, and implement your research to deliver improvements to the member experience and drive change across the company. Additionally, you will be actively engaged with the broader ML research community through conferences, publications, organizational activities, and academic collaborations.

We are looking for an experienced researcher with broad expertise in machine learning who can establish and execute a strong research agenda, disseminate knowledge, get others behind their ideas, and foster an open environment of collaboration, innovation, and intellectual excitement.

What you bring
• Ph.D. in a relevant area, with multiple years of post-Ph.D. experience in industry and/or academia.
• Experience in applying research (preferably yours) to transform real business problems in collaboration with engineering and business teams.
• Ample research experience, in industry and/or academia, including as evidenced in publications.
• A track record of bringing clarity to and leading ambitious research projects inspired by real-world challenges.
• Regarded as a role model both because of your technical expertise as well as the impact you drive. Consistently sought out by stakeholders for collaboration, guidance, problem-solving, and decision-making.
• Excellent 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 big, cross-functional problems.
• Exceptional communication with technical, non-technical, and mixed audiences.
• Self-motivated with an ability to thrive and to lead with minimal oversight and process.
• Uplevels the greater org through sharing knowledge and guiding thought on the adoption of new methods. Actively mentors others and is sought out as a mentor.
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 $400,000 - $960,000.

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.

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.

Jobcode: Reference SBJ-gm09vv-13-59-122-162-42 in your application.