Technical Program Manager, Scientific Intelligence for Gemini (Full Time Contract)
Google DeepMind · Mountain View, CA, USA
CHECKED 41M AGO
Frontier labonsite$192k–$278k
At a glance
Highlights
- Drive Science & Reasoning workstreams for Gemini from hypothesis to launch.
- Audit scientific benchmarks and shape data and training priorities with researchers.
- Build verifiable RL environments with tool-use and code execution for science.
Ideal candidate
A science-minded TPM who thrives in ambiguous research environments and loves diving into model reasoning to turn hypotheses into rigorous training and evaluation milestones.
Requirements
- Bachelor's degree in 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)
- Experience analyzing model reasoning traces on graduate-level science problems and translating fixes into training pipeline
- Experience designing lightweight systems for fast-moving empirical research, including scripting and dataset analysis
- Knowledge of SFT data quality, RL reward signals, verifier calibration, and capability tradeoffs across model sizes
- Ability to audit individual tasks and rubrics beyond benchmark metrics
- Ability to thrive in ambiguous, high-velocity research environments with fluency in LLMs, SFT, RL and Python scientific stacks
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)