Research Scientist, Recommendation Systems

<h2><strong>About Us</strong></h2> <p>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&nbsp;by bridging the gap between LLMs and complex behavioral signals. Our research explores user &amp; 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.</p> <h2><strong>The Role</strong></h2> <p>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.</p> <p><strong>Key responsibilities:</strong></p> <ul> <li>Research and develop key technologies such as Semantic IDs, generative retrieval/ranking, large user models.</li> <li>Build prototypes to demonstrate the "art of the possible" for recommendation systems using the newest AI advances.</li> <li>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.</li> </ul> <h2><strong>About You</strong></h2> <p>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 piv