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Research Scientist, Science AI, Google Research

Google
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Cambridge, MA, USA$147k - $210kFull-timePosted 3d ago

About the role

Research Scientist role at Google Research focused on designing and evaluating agentic AI systems for scientific discovery, advancing AI-accelerated science through inter-disciplinary collaboration, and building scalable infrastructure for agent execution and evaluation.

Responsibilities

  • Design, build, and evaluate agentic AI systems for scientific discovery.
  • Bring in domain-specific tools, simulators, datasets, and models 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 ML venues, and help shape 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.

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.

Skills

Required:Autonomous agentsMachine Learning / LLM
Last updated Oct 23, 2026. Interested? Apply on the company site.

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