Research Scientist, Recommendation Systems
Skills & Technologies
Requirements
- Education
- PhD
- Visa
- Sponsorship available
Benefits
Joblaze summary
In this role, the Research Scientist focuses on developing innovative recommendation systems by leveraging Large Language Models and advanced AI techniques. Key skills include a strong background in machine learning, software engineering, and experience with deep learning algorithms, particularly in the context of recommender systems. This position is ideal for individuals with a PhD or equivalent experience, ranging from recent graduates to seasoned researchers, who thrive in a dynamic environment and can adapt to evolving challenges. The team at Google DeepMind is dedicated to pushing the boundaries of AI technology, aiming for significant impacts across major products.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Google DeepMind's career page.
- Google DeepMind has 57 other open roles including Research Engineer, Materials Science, Research Scientist: Multilingual, Multicultural and Multimodal LLM, Science & Frontier AI Research - Writer / Communicator.
- 1579 active AI/ML roles on Joblaze right now.
- 68 active reinforcement learning roles on Joblaze right now.
- 64 active Large Language Models roles on Joblaze right now.
Quick facts
- Is the Research Scientist, Recommendation Systems role remote?
- It's hybrid — Google DeepMind expects some on-site time in Mountain View, California, US.
- Where is the role based?
- Google DeepMind is hiring for this position in Mountain View, California, US.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: JAX, Large Language Models, AI/ML, Supervised Fine-Tuning, reinforcement learning.
- Does Google DeepMind sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Google DeepMind targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Research Scientist, Recommendation Systems role at Google DeepMind.
From the original posting
About Us
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.
Key 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.
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:
- 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.
In addition, the following would be an advantage:
- 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.
What We Offer
At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.
We are also open to relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).