Science AI Strategy Lead

Google LLC

New York, Mountain View (NY, CA)

On-site

USD 207,000 - 300,000

Full time

5 days ago
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Job summary

Google DeepMind in New York and Mountain View seeks a Science Expert Lead to shape Gemini’s data strategy and map complex science workflows for model improvement.

You will curate high-quality data and rubrics, collaborate with researchers to prioritize capabilities, and drive data quality across vendors and synthetic pipelines. This senior role offers equity and a bonus target in addition to base compensation.

Qualifications

  • Master's degree in natural 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.

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.

Skills

LLM evaluation
Workflow breakdown
Cross-functional collaboration
ML model evaluation

Education

Master's degree or equivalent

Job description

Google DeepMind in New York and Mountain View seeks a Science Expert Lead to shape Gemini’s data strategy and map complex science workflows for model improvement.

You will curate high-quality data and rubrics, collaborate with researchers to prioritize capabilities, and drive data quality across vendors and synthetic pipelines. This senior role offers equity and a bonus target in addition to base compensation.

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