remote
Research Scientist - Content Representation Models - Netflix
Research Engineer
Lead research on foundation models that unify video, audio, text, and artwork embeddings, driving next‑generation content understanding and recommendation at scale.
About the role
Key Responsibilities
- Design, implement, and evaluate large‑scale foundation models that encode multimodal content (video, audio, text, artwork) into a unified semantic space.
- Collaborate with data scientists and engineers to ingest and preprocess massive Netflix media datasets.
- Advance state‑of‑the‑art techniques in deep learning, representation learning, and multimodal fusion.
- Publish findings in top conferences and contribute to open‑source tooling.
- Mentor junior researchers and cross‑functional teams on best practices in model development.
Requirements
- Ph.D. or equivalent experience in Machine Learning, Computer Vision, or NLP.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Strong background in multimodal representation learning and large‑scale model training.
- Experience with distributed training and cloud platforms (e.g., AWS, GCP).
- Excellent communication skills and a track record of publishing research.
Skills
pythonpytorchtensorflowmachine learningcomputer visionnatural language processing