Science Expert Lead, Gemini Data
Google DeepMind · New York, NY, USA · Mountain View, CA, USA
CHECKED 23H AGO
Frontier labonsitelead$207k–$300k
At a glance
Highlights
- Lead Gemini's foundational data strategy for specialized science domains.
- Design tasks and QA datasets to make Gemini ultimate assistant for scientists.
- Stress-test checkpoints on real workflows to identify missing scientific knowledge.
What they offer
- 20% bonus target
- equity
- benefits
Ideal candidate
A scientist turned AI practitioner who bridges lab research and machine learning and cares about building rigorous, high-quality data to make Gemini truly useful for scientists.
Requirements
- Master's degree in Natural Science, computational science, or equivalent practical experience
- Experience measuring LLM performance and optimizing for scientific use cases
- Experience breaking down lab or computational workflows into tasks, rubrics and quality standards
- Experience prioritizing AI capabilities with cross-functional technical partners
- Dual expertise bridging scientific research and AI
- Strong technical ability evaluating ML models and applying LLMs to science workflows
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)