Research Scientist, Paradigms of Intelligence

Research Scientist, Paradigms of Intelligence

Mid experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

• Post-doctoral experience.
• Experience in the field of machine learning.
• Experience in the training and fine-tuning of LLMs.
• Experience in the use of LLMs in fields of program synthesis or automated code discovery.
• Excellent computer programming skills.
• First-authored or last-authored publications in the field of machine learning at top venues (e.g., ICLR, ICML, NeurIPS).

About the job:

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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.