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Research Scientist, Science AI, Google Research

Google

Cambridge, MAJob$147–210K/yrSeen 3 days agoSeen in employer's feed 3 days ago

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At a glance

Compensation
$147–210K/yr
Location
Cambridge, MA
Work Authorization
Not specified

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Job overview

Google Research seeks a Research Scientist to develop agentic AI systems for scientific discovery, integrating scientific tools, datasets, simulators, and models. The role includes setting a research agenda, collaborating with scientists to validate hypotheses, publishing findings, and building scalable infrastructure for agent execution and evaluation. Candidates need a PhD or equivalent practical experience, experience developing agentic systems, and first-author peer-reviewed publications.

Skills & qualifications

RequiredNice to have

Skills

Autonomous AgentsMulti-Agent WorkflowsTool-Using LLM SystemsResearch LeadershipMachine Learning ModelsLLM-Based SystemsJAXPyTorchTensorFlowPythonC++Benchmark DesignEvaluation DesignVerifiable Reward SignalsScientific ReasoningData AnalysisCode Generation

Qualifications

PhD in Listed or Related Field or Equivalent Practical ExperienceFirst-Author Peer-Reviewed Publication2 Years Leading Research AgendaEnglish Proficiency

Full job description

Research Scientist, Science AI, Google Research

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Mid

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

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Minimum qualifications:

  • PhD degree in Computational Biology, Bioinformatics, Biophysics, Physics, Computer Science, or a related quantitative field, or equivalent practical experience.

  • Experience developing one or more of the following: autonomous agents, multi-agent workflows, or tool-using LLM systems.

  • One or more first-author scientific publications in peer-reviewed journals or conferences.

Preferred qualifications:

  • 2 years of experience leading a research agenda in computational biology, computational physics, or machine learning for science.

  • Experience developing and deploying machine learning models or LLM-based systems with modern frameworks (e.g., JAX, PyTorch, TensorFlow).

  • Coding experience in Python, C++, or a similar language.

  • Experience designing benchmarks, evaluations, or verifiable reward signals for scientific reasoning, data analysis, or code generation.

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.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

  • Design, build, and evaluate agentic AI systems for scientific discovery.

  • Bring in domain-specific tools, simulators, datasets, and models (e.g., genomics pipelines, structure prediction, physics-based simulation) so agents can use them reliably at scale.

  • Work with scientists inside and outside Google to choose high-impact problems, check agent-generated hypotheses, and close the loop between prediction and discovery.

  • Set and lead a research agenda. Identify new directions at the intersection of agents and science, publish in top Machine Learning (ML) venues, and help shape our long-term strategy for AI-accelerated science.

  • Own the robust, scalable infrastructure for agent execution, orchestration, and evaluation, and help research ideas become reliable systems that others can build on.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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