Research Scientist (L4) - Machine Learning and Inference Research, LLM Post-Training

Netflix • Los Gatos, CA

100d • $170,000 - $720,000

About The Position

Netflix is one of the world's leading entertainment services, with over 300 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 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.

Requirements

• Ph.D. in Computer Science or a related field with a specialization in post-training LLMs for downstream tasks.
• Track record of top-tier publications demonstrating deep expertise in the specialization.
• Passion for collaboration and building strong relationships.
• Strong technical communication skills.
• Self-motivated with the ability to thrive and lead with minimal oversight.
• Curiosity and judgment in identifying and framing ambiguous research and business problems.
• Eagerness to elevate the broader organization through sharing knowledge.

Responsibilities

• Leverage technical expertise to shape research roadmaps.
• Collaborate across functions to bring new ideas from exploration to impact.
• Engage with the broader research community by publishing at top venues.
• Present at conferences and mentor interns.
• Foster academic collaborations.

Benefits

• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• 35 days annually for paid time off for full-time hourly employees
• Flexible time off for full-time salaried employees

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees