Technical Program Manager, Responsibility
Google DeepMind · New York, NY, USA
Frontier labonsite$163k–$236k
At a glance
Highlights
- Translate frontier AI safety risks into measurable technical goals at DeepMind.
- Drive evaluation suites and safety frameworks for LLMs and autonomous agents.
- Shape regulatory requirements via cross-industry horizon scanning for AI safety.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
A technical program leader passionate about frontier AI safety and ethics who thrives translating complex risks into clear goals and uniting research, engineering, and policy teams.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience
- 5 years of experience in technical program management, software engineering, or research engineering
- 3 years of experience partnering with research or engineering leads to deliver AI/ML programs, evaluation suites, or safety frameworks
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)
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