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. Join a great team of research scientists and engineers that are addressing real world problems for Google to help AI transform the world! The team addresses AI research issues motivated by Google's mission to organize the world's information and make it universally accessible and useful. We focus on solving grand scientific and engineering issues in science, systems, and infrastructure via AI, foundation models, and agentic solutions. We work on a range of unique problems with the goal of maximizing both scientific and real-world impact – both pushing the AI in top venues and collaborating across teams to bring innovations to production.
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Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree