mid machine learning Research Scientist ic · Posted May 5, 2026
$147,000 – $211,000
USD per year

About this role

Google is hiring a mid-level Research Scientist in the machine learning function based in Goleta, CA. The posting calls out experience with Python, NLP, Data Structures, Mobile Development. Compensation is listed at $147,000–$211,000 per year.

Role
Research Scientist
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Goleta, CA
Posted
May 5, 2026

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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 full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

This is an excerpt. Read the full job description on Google careers →
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