Research Scientist, Recommendation Systems

DeepMind • Mountain View, CA

2d

About The Position

Our team operates at the frontier of modern recommender systems. With a proven track record of innovating and deploying novel deep learning algorithms and systems at scale, we are currently focused on building the next-gen Large Recommendation Models by bridging the gap between LLMs and complex behavioral signals. Our research explores user & item tokenizations, continued pre-training, and advanced fine-tuning techniques to build recommendations-native foundation models. Our mission is to transform the landscape of recommendation systems using the most advanced AI technologies, delivering massive impact across Google’s flagship products. The Role As a Research Scientist, you will have the opportunity to build new paradigms using Large Language Models, harnessing the advanced content understanding, long-context, and reasoning capabilities. You will play a pivotal role in exploring how to integrate data from recommendation domains into foundation models, enabling new capabilities through data curation, Supervised Fine-Tuning (SFT), Reinforcement Learning (RL) training, and more. About You We are seeking a Research Scientist who can drive new research ideas from conception and experimentation through to productionisation. In this rapidly shifting landscape, we regularly invent novel solutions to open-ended problems. You should be flexible, adaptable, and comfortable pivoting when ideas don’t work out. In order to set you up for success as a at Google DeepMind, we look for the following skills and experience:

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• enhanced maternity, paternity, adoption, and shared parental leave
• private medical and dental insurance for yourself and any dependents
• flexible working options
• excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.
• relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree