AI Research Scientist 4/5 - Generative Models, Recommender Systems
Core
Design and develop innovative Machine Learning solutions to define algorithmic strategies for promoting titles and enhancing content discovery on Netflix.
Role type
Senior IC machine learning scientist (generative models & recommender systems)
Builds
Promotional assets and content discovery experiences for Netflix members
Domain
Streaming entertainment, Natural Language Processing, Generative AI
Deliverable
production ML models
Required skills
LLM and generative model research, Natural Language Processing/Understanding and Generation, LLM post-training approaches, recommendation systems, model training, evaluation
Preferred skills
summarization quality, LLM-based evaluators, vision models (diffusion models), member-facing optimization systems
Technologies
LLMs, generative models, diffusion models
Responsibilities
Track advancements in LLM and generative model research and translate them into concrete opportunities; Apply state-of-the-art techniques to high-impact problems like summarization quality and building LLM-based evaluators; Lead end-to-end ML development including research, model training, and evaluation; Optimize generated content for member impact by treating content generation and audience targeting as coupled problems; Partner with ML scientists and engineers to integrate models into business applications; Act as a subject matter expert to identify high-impact opportunities and execute roadmaps
Seniority
Senior, hands-on IC
