Science Expert Lead, Gemini Data, DeepMind

Google LLC; New York, Mountain View (NY, CA); Presencial; USD 207.000 - 300.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

LLM evaluation

Workflow breakdown

Cross-functional collaboration

ML model evaluation

Educación

Master's degree or equivalent

Descripción del empleo

Science Expert Lead, Gemini Data, DeepMind

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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA.

• 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.

Preferred qualifications:

• Experience breaking down laboratory or computational workflows into concrete tasks, evaluation rubrics, and quality standards.
• Experience prioritizing AI capabilities and collaborating closely with cross-functional technical partners to unlock value for scientists.
• Demonstrated dual expertise bridging scientific research and AI, such as transitioning from a scientist into a technical machine learning role, or vice versa.
• Strong technical capabilities evaluating machine learning models, and applying Large Language Models to complex scientific workflows.

About the job

At Google DeepMind, we are expanding Gemini’s frontier AI capabilities into highly specialized professional domains. We are seeking a Science Expert Lead to shape our foundational data strategy for the financial sector. In this role, you will apply your deep domain knowledge to map complex Science workflows, identify critical areas for model enhancement, and curate the high-quality data necessary to make Gemini the ultimate AI assistant for Science professionals. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

• 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.

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 .

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.

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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.