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About the Role
Netflix's mission is to entertain the world by pushing the boundaries of storytelling, global fandom, and technology. The company continuously advances innovations in personalization, discovery, experimentation, decision-making, member understanding, and backend infrastructure, creating new opportunities for research. The Machine Learning and Inference Research team leverages AI/ML to address fundamental research questions, translating them into tangible benefits for members and the business. As a team member, you will apply technical expertise to shape roadmaps, collaborate cross-functionally, and drive ideas from exploration to impact. You will also engage with the broader research community through publications, conference presentations, intern mentorship, and academic collaborations. This role seeks an early-career researcher to define and execute a strong research agenda, disseminate knowledge, inspire others, deliver impact through collaboration, and foster an environment of innovation, rigor, and curiosity.
Responsibilities
- Leverage technical expertise to shape roadmaps
- Collaborate across functions
- Bring new ideas from exploration to impact
- Engage actively with the broader research community by publishing at top venues
- Present at conferences
- Mentor interns
- Foster academic collaborations
- Define and execute a strong research agenda with internal and external visibility
- Disseminate knowledge effectively and inspire others
- Collaborate with colleagues to deliver tangible impact
- 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, especially using RL (e.g., RLVR, RLHF, offline or online, policy- or value-based), and possibly also including reasoning, alignment, distillation/compression, tool use, memory, calibration, or related
- 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
Skills
- Post-training LLMs for downstream tasks
- Reinforcement Learning (RL)
- Reasoning
- Alignment
- Distillation/Compression
- Tool Use
- Memory
- Calibration
- Technical communication
- Collaboration
- Self-motivation
- Leadership with minimal oversight
- Problem identification and framing
- Knowledge sharing
- Guiding adoption of new methods
Work Type
- Full-time
Experience Level
- Early-career
Education Level
- Ph.D. in Computer Science or a related field
Salary/Compensations
- $300,000.00 - $537,000.00
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 (vacation, holidays, sick) for full-time hourly employees
- Flexible time off for full-time salaried employees
About the Company
- Netflix's mission is to entertain the world.
- The company pushes the boundaries of storytelling, global fandom, and making the unimaginable a reality.
- Netflix is a dream team obsessed with merging creativity, intuition, and cutting-edge technology.
- Netflix has a unique culture and environment.
Equal Opportunity
- Inclusion is a Netflix value, striving for a meaningful interview experience for all candidates.
- Accommodation/adjustment for a disability or any other reason during the hiring process can be requested from the recruiting partner.
- Netflix is an equal-opportunity employer and celebrates diversity, recognizing that diversity builds stronger teams.
- The company approaches diversity and inclusion seriously and thoughtfully.
- Netflix does 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.