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Mountain View, CA, USA
Source: Google careers · View original posting
From Google's posting. “We” and “our” refer to the employer.
Working alongside our Advanced Agentic team, the Specialized Professional Intelligence team is building domain-specific AI architecture for high-stakes industries that operate on vast, sensitive, and private datasets. The team also contributes to the broader Gemini model training effort by building evaluations, datasets and training objectives that measure performance on complex tasks. Additionally, we work on research to see how we can improve agent performance throughout these product surfaces.
We are looking for roles across the board for strong infrastructure engineers, front-end engineers, and researchers excited to achieve unprecedented levels of performance.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about
benefits at Google.
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