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Science Expert Lead, Gemini Data, DeepMind

Google
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RemoteFull-timePosted 2w ago

About the role

Leadership role shaping Gemini’s data strategy for specialized professional domains, focusing on Science data across workflows, evaluation, and data quality to enable Gemini as an AI assistant for Science professionals.

Responsibilities

  • Set the Science data strategy by mapping workflows into a use-case taxonomy, and partnering with research to prioritize capabilities, data coverage, and sourcing pipelines.
  • Create high-quality Science data by designing tasks and rubrics, and QA-ing datasets from vendors, customers, and synthetic pipelines for correctness, realism, and coverage.
  • Steer data priorities using model failures by reproducing reported losses and stress-testing checkpoints on real workflows to identify missing scientific knowledge and false assumptions.
  • Build Science evaluations by assessing industry benchmarks to measure data strategy success, and advise cross-team evaluation efforts on scientific coverage and realism.
  • Scale expertise by recruiting and guiding SMEs, acting as the domain authority to enforce vendor quality, and converting expert contributions into usable training data.

Qualifications

  • Master's degree in Natural Science (e.g., Biology, Chemistry, Physics), computational science, or equivalent practical experience.
  • Experience measuring the performance of Large Language Models (LLMs) or generative AI tools and optimizing them for scientific use cases.

Skills

Required:Science data strategyData task design and rubric creationDataset QA and vettingModel evaluation for science data
Nice to have:SME recruitment and guidance

Benefits

  • Learn more about benefits at Google (link provided in description).
Last updated Oct 23, 2026. Interested? Apply on the company site.

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