GenAI Technical Engagement Lead
Google DeepMind · Mountain View, CA, USA · San Francisco, CA, USA
CHECKED 7M AGO
Frontier labonsitelead$277k–$308k
At a glance
Highlights
- Translate frontier model roadmaps into actionable AI policy responses.
- Advise senior leaders on emerging AI regulations and solutions.
- Co-design advocacy playbooks harmonizing policy with model deployment.
What they offer
- 25% bonus target
- equity
- benefits
Ideal candidate
A bridge-builder between AI research and policy who thrives on translating complex technical work for regulators and cares deeply about safe, responsible frontier AI.
Requirements
- Bachelor's degree in Computer Science, Data Science, Machine Learning, Law, Public Policy or equivalent practical experience
- 8 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)