Senior Research Scientist, Interactive Recommender Systems, Google Research

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Our team is focused on research to develop the next generation of technologies to power systems and other user-facing products at Google, with an emphasis on improving long-term user satisfaction in complex ecosystems. We pay special attention to interactive systems, such as conversation recommender systems, and the use of generative models; long-term, sequential optimization, using techniques such as reinforcement learning; personalization via user preference modeling and elicitation; and modeling multi-agent interactions, incentives and content creation using game theory and mechanism design. We collaborate directly with product teams to both inspire and apply new research directions.