AI Research Scientist 4/5 - Generative Models, Recommender Systems

Overview

Lead applied machine learning research and development for Netflix's Promotional Assets & Creative Technology AIMS team, focusing on LLM and generative models that improve how titles are promoted and discovered.

What you'll do

• Track advancements in LLM and generative model research and translate them into concrete opportunities for the problem space.
• Apply state-of-the-art techniques to high-impact problems such as summarization quality and building LLM-based evaluators ("judges") that assess whether generated content meets quality bars.
• Lead end-to-end ML development on these problems: research, model training, and evaluation.
• Optimize generated content for member impact, treating content generation and audience targeting as coupled problems, drawing on recommendation systems thinking.
• Partner with ML scientists and engineers to integrate models into business applications and platforms.
• Translate complex technical concepts for technical and non-technical stakeholders to inform strategic decisions.
• Act as a subject matter expert, working cross-functionally to identify high-impact opportunities and define and execute roadmaps.
• Engage with the internal and external ML community to learn, teach, and contribute to the Netflix brand.

What you'll need

• Demonstrated habit of tracking the LLM/generative model literature and spotting which advances are relevant to real business problems.
• Strong foundation in ML and Deep Learning, especially in Natural Language Processing / Understanding and Generation.
• Expertise in one or more LLM post-training approaches.

Nice to have

• Research experience in summarization or generated-text evaluation (e.g., LLM-as-judge methods).
• Background in vision models such as diffusion models.
• Experience with recommendation systems, personalization, or other member-facing optimization systems.

Details

• Location: USA, Remote.
• Annual salary only, no bonuses; compensation range $300,000.00 - $537,000.00, varying by location.
• Job is open for no less than 7 days and will be removed when the position is filled.