Research Scientist — Content Representation Models; CRM

Team Overview

The Content Representation Models team develops unified foundation models that understand video, audio, text, and artwork at a semantic level, enabling improved personalization across Netflix.

We are seeking a Research Scientist specializing in embeddings and representation learning to advance content understanding in Netflix’s foundation models.

• Drive applied research to enhance content understanding capability in Netflix’s foundation models.
• Conceptualize, design, implement, and validate new approaches to representation learning and content embeddings.
• Explore and apply state‑of‑the‑art AI/ML techniques, including methods for improving how LLMs and foundation models represent and reason about content.
• Develop production‑ready solutions and partner with application teams to ensure research translates into member‑facing impact.
• Design and run rigorous offline experiments and evaluations to validate new approaches.
• Collaborate with cross‑functional teams across content understanding, foundation models, and personalization applications.
• Contribute to the broader research community through publications at top venues.

• Ph.D. in Computer Science or a related field with a strong publication record in embeddings, representation learning, or a closely related domain.
• 3+ years of research experience with a track record of delivering quality results.
• Deep expertise in machine learning, including practical experience with LLMs and/or foundation models.
• Strong software engineering skills in Python (e.g., PyTorch).
• Excellent communication and collaboration skills.

• Experience adopting LLMs for recommender systems, especially building Semantic IDs grounded in LLMs.
• Experience in computer vision or multimodal AI.
• Industry experience in recommendation systems, search, personalization, or retrieval.
• Experience with LLM pre‑training, fine‑tuning, or distillation.
• Hands‑on experience with distributed training.
• Publications in top ML conferences (NeurIPS, ICML, ICLR, KDD, Rec Sys).
• Applied research experience in industrial settings.

Annual salary range: $ – $.

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, and flexible time off for full‑time staff.

We are an equal‑opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We do 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.