remote
Research Scientist, Recommendation Systems - DeepMind
Research Engineer
Lead cutting‑edge research on large‑language‑model post‑training for recommendation systems, driving innovation in JAX‑based infrastructure and publishing high‑impact findings.
About the role
Key Responsibilities
- Design, implement, and evaluate novel LLM post‑training algorithms to enhance recommendation quality.
- Build scalable JAX‑based infrastructure for large‑scale experimentation and deployment.
- Publish research in top venues (NeurIPS, ICML, ICLR) and present findings to internal stakeholders.
- Collaborate with cross‑functional teams to integrate research outcomes into production recommendation pipelines.
- Mentor junior researchers and contribute to the broader research community.
Requirements
- PhD in Machine Learning, Computer Science, or related field, or equivalent practical research experience.
- Minimum 2 years of experience in LLM post‑training algorithms and infrastructure.
- Proficiency with JAX and large‑scale distributed training.
- Strong publication record in leading ML conferences or significant industry contributions.
- Excellent communication skills and ability to work in a fast‑paced, collaborative environment.
Skills
machine learningdeep learning