Technical Program Manager, Scientific Intelligence for Gemini, DeepMind
Mountain View, CA, USA$217k - $236kFull-timePosted 2w ago
About the role
Technical Program Manager at Google DeepMind, focusing on Science & Reasoning within Gemini. Leads multi-disciplinary engineering projects, plans requirements, manages lifecycle and stakeholders, and drives execution across data, training, and evaluation workstreams in frontier AI model development.
Responsibilities
- Partner with research leads in life/physical sciences and formal reasoning to translate hypotheses into structured roadmaps, data mixtures, and Gemini release milestones.
- Drive end-to-end execution for human data collection, synthetic data generation, SFT, and verifiable RL training environments like computational tool-use and code execution.
- Curate and audit the evaluation suite for scientific reasoning and agentic workflows, ensuring benchmarks measure real-world scientific validity.
- Work with post-training and RL leads to analyze checkpoints, inspect reasoning traces, identify capability gaps, and translate findings into immediate training interventions.
- Manage cross-functional dependencies across data infrastructure, evaluation platforms, compute allocations, and external domain-expert vendors. Synthesize training dynamics and bottlenecks into clear launch criteria and actionable updates for tech leads.
Qualifications
- Bachelor's degree in a Life Science (e.g., Computational Biology, Chemistry), Physical Science (e.g., Physics, Materials Science), Mathematics, or Computer Science, or equivalent practical experience.
- 5 years of experience with technical programs, research engineering, or applied AI/ML projects (or 3 years with a PhD).
Skills
Required:Communication with executives and engineersRoadmapping and project lifecycle management
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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