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. The Ads Generative AI (Gen AI) team develops ML models to show high quality ads that power the free internet for everyone. In particular, the team works on adapting Gemini models for various ads tasks through automated prompt engineering, fine tuning, and reinforcement learning.

Develop novel ML modeling techniques that influence products.

Work with and fine tune LLMs for targeting, large-scale retrieval, pseudo-rater, and other ads applications.

Work with researchers and engineers in Google DeepMind and Search.

Work with product teams to develop and deploy user-facing products.

Publish papers at leading ML conferences.