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Research Scientist, Paradigms of Intelligence

Google
Canada·Mountain View·California·United States·Massachusetts·Cambridge·Ontario·Toronto·New York·Full Time·Onsite·Research & Development·Intermediate
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Summary

Google is seeking a Research Scientist to conduct fundamental research into alternative AI paradigms beyond current trends, with a focus on LLM advancements. This role involves developing and publishing novel AI algorithms and discovering new methods for algorithm discovery, aiming for efficiency on various computing substrates. The position is ideal for individuals with a PhD in Computer Science or a related field, experience in machine learning, and a passion for pushing the boundaries of AI research.

Required Skills

Large Language ModelMachine Learning

Details

Salary
$147,000 – $211,000/yr
Posted
Jul 3, 2026
Bonus
Yes
Equity
Yes

Description

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.

Our team conducts basic research into alternative AI paradigms beyond those currently trending. Our goal is to discover novel AI algorithms that can be efficient to run on typical or alternate computing substrates, using a mix of automated, hand-designed, and hybrid methods—specifically focusing on how advancing Large Language Model (LLM)-related techniques can accelerate this process.

In this role, you will research, develop, and publish breakthroughs in both algorithm discovery methods and the resulting algorithms themselves.
The Technology and Society organization connects research, people, and ideas across Google and Alphabet to help shape and advance our most ambitious technology innovations and initiatives and their impact on users and society for the better, and responsibly. In addition, we also aim to share perspectives, engage, and collaborate with others externally on technology related issues and opportunities for society.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Canada: $150000 - $154000 (CAD) + 15% bonus target + equity + benefits
US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.