Description
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 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 top venues, presenting at conferences, mentoring interns, and fostering
academic collaborations.
We are seeking an early-career researcher who can grow to define and execute a strong
research agenda with both internal and external visibility, disseminate knowledge effectively
and inspire others, collaborate with colleagues to deliver tangible impact, and help foster an
open environment of innovation, intellectual rigor, and curiosity.
What you bring:
- Ph.D. in a relevant field (CS, Stats, Econ, OR, or similar) with a specialization in
econometrics / causal inference, especially when combined with ML to tackle settings
with rich and plentiful data but limited experimentation. - A track record of top-tier publications demonstrating deep expertise in the
specialization. - Passion for collaboration and for building strong relationships to tackle big,
cross-functional problems. - Strong technical communication skills, with the ability to adapt to different audiences.
- Self-motivated with an ability to thrive and to lead with minimal oversight and process.
- Curiosity and judgment in identifying and framing ambiguous research and business
problems, and connecting the two. - Eagerness to elevate the broader organization through sharing knowledge and guiding
the adoption of new methods.
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.
