Technical Program Manager, Scientific Intelligence for Gemini, DeepMind (Full Time Contract)
Mountain View, CA, USA · Manager · Full-time · Posted Oct 8, 2026
- Experience
- 5 years of experience with technical programs, research engineering, or applied AI/ML projects (or 3 years with a PhD).
- Education
- 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.
About the job
Leads scientific reasoning workstreams for Gemini, turning research hypotheses into training data, verifiable reinforcement-learning environments, evaluations, and model release milestones.
What you'll do
- Translate research hypotheses into roadmaps, data mixtures, and Gemini release milestones with research leads.
- Drive execution of human and synthetic data collection, supervised fine-tuning, and verifiable RL training environments.
- Audit scientific reasoning evaluations, analyze model checkpoints and reasoning traces, and coordinate cross-functional dependencies.
What they ask for
- Bachelor's degree in a Life Science, Physical 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).
Nice to have
- Experience analyzing model reasoning traces on graduate-level science problems and translating fixes into the training pipeline.
- Knowledge of SFT data quality, RL reward signals, verifier calibration, and capability tradeoffs across model sizes.
Pay
$192000 - $278000 USD base salary
Tools
Gemini, SFT, RL, Python
AI focus
Coordinates frontier AI model development for scientific reasoning, including training data, verifiable RL environments, evaluations, and model capability analysis.
Model-written summary · the original posting is authoritative