Netflix is seeking to advance innovations in personalization and discovery, experimentation and decision-making, understanding members and titles, and backend infrastructure by exploring the frontiers of AI/ML and intersecting fields. The Machine Learning and Inference Research team aims to turn these opportunities into tangible benefits for members and the business by tackling fundamental research questions and translating research into impact at scale.
Requirements
- 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.
Responsibilities
- shape roadmaps
- collaborate across functions
- bring new ideas from exploration to impact
- engage actively with the broader research community by publishing at top venues
- presenting at conferences
- mentoring interns
- fostering academic collaborations
Other
- 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.
- 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.
