GenAI Technical Engagement Strategy Lead
Google DeepMind · Mountain View, CA, USA
Frontier labonsitelead$240k–$333k
At a glance
Highlights
- Translate frontier model roadmaps into actionable AI policy and advocacy strategies.
- Work at intersection of research, engineering, policy, and product teams.
- Drive advocacy to align emerging AI regulations with model development goals.
What they offer
- 25% bonus target
- equity
- benefits
Ideal candidate
A strategic bridge-builder with 10+ years across AI technical or policy roles who thrives translating complex model development into impactful advocacy and harmonizing innovation with regulation.
Requirements
- Bachelor's degree in Computer Science, Data Science, Machine Learning, Maths, Statistics, Law, Public Policy, Security, Safety, or equivalent practical experience
- 10 years of experience in either technical product/engineering/researcher roles, or policy/regulatory-facing roles
- Experience with foundational models development life-cycles, model capabilities, training data architectures, and model evaluation and deployment
- Experience working with cross-functional teams in technical engineering/research organizations
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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