The Machine Learning and Inference Research team at Netflix is seeking an early-career researcher to contribute to fundamental research questions and translate findings into impactful solutions. This role involves leveraging technical expertise to shape research agendas and collaborate across functions. The candidate will engage with the broader research community through publications and presentations while fostering an innovative environment. The focus is on post-training LLMs for downstream tasks and related areas.

• Ph.D. in Computer Science or a related field with a specialization in post-training LLMs for downstream tasks.
• A track record of top-tier publications demonstrating deep expertise in the specialization.
• Strong technical communication skills, with the ability to adapt to different audiences.
• Self-motivated with an ability to thrive and lead with minimal oversight.
• Curiosity and judgment in identifying and framing ambiguous research and business problems.

• Define and execute a strong research agenda with both internal and external visibility.
• Collaborate with colleagues to deliver tangible impact.
• Engage actively with the broader research community by publishing at top venues and presenting at conferences.
• Mentor interns and foster academic collaborations.
• Share knowledge and guide the adoption of new methods within the organization.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.