staff machine learning Research Scientist tech_leadership Bachelor's · Posted Mar 3, 2026
$207,000 – $300,000
USD per year

About this role

Google is hiring a staff-level Research Scientist in the machine learning function based in Mountain View, CA | Los Angeles, CA. The posting calls out experience with Python, LLMs, NLP, Machine Learning. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $207,000–$300,000 per year.

Role
Research Scientist
Function
machine learning
Level
staff
Track
Tech leadership
Employment
Full-time
Location
Mountain View, CA | Los Angeles, CA
Education
Bachelor's degree
Posted
Mar 3, 2026
AI Summary
Develop novel ML modeling techniques for Google Ads' generative AI team, focusing on adapting Gemini models for ads tasks through prompt engineering, fine-tuning, and reinforcement learning. Collaborate with research scientists, engineers, and Google DeepMind to deploy large-scale experiments and publish findings.

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Job description

from Google careers

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…

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