Google DeepMind · 22 hours ago
Research Scientist, Recommendation Systems
Google DeepMind operates at the frontier of modern recommender systems, focusing on building next-gen Large Recommendation Models. As a Research Scientist, you will explore integrating data from recommendation domains into foundation models, enabling new capabilities through various advanced techniques.
Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
Responsibilities
Research and develop key technologies such as Semantic IDs, generative retrieval/ranking, large user models
Build prototypes to demonstrate the "art of the possible" for recommendation systems using the newest AI advances
Work closely with product teams to translate research breakthroughs into deployed solutions for flagship products, tackling real-world challenges at an industrial scale through new recipes
Qualification
Required
PhD in Machine Learning, Computer Science, or a relevant field (or equivalent practical research experience)
A proven track record of research excellence (e.g., publications at top-tier venues like NeurIPS, ICML, ICLR, or significant industry contributions), ranging from recent graduates to experienced researchers
Strong software engineering skills to complement your research background
Preferred
Proven track record of building recommender / search systems and/or successfully deploying novel deep learning algorithms at industrial scale
Skilled in LLM post-training algorithms and infra, with proficiency in JAX
Strong communication skills with a demonstrated ability to drive cross-functional projects and collaborate effectively across organizational boundaries
Benefits
Enhanced maternity, paternity, adoption, and shared parental leave
Private medical and dental insurance for yourself and any dependents
Flexible working options
Healthy food
An on-site gym
Faith rooms
Terraces
Company
Google DeepMind
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
Recent News
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