External Safety Testing Manager, Responsible Development and Innovation
Google DeepMind · New York, NY, USA
Frontier labonsitemanager$156k–$227k
At a glance
Highlights
- Lead external safety evaluations on DeepMind's most groundbreaking models.
- Scale post-deployment testing for frontier risks across novel capability areas.
- Partner across Research, Product, Legal and Governance to inform mitigations.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
A collaborative program leader with startup or tech background who cares deeply about AI safety and thrives coordinating external partners and cross-functional teams to turn testing insights into responsible mitigations.
Requirements
- 8 years of experience in a start-up, tech company, or consulting organization
- Experience working with AI or in an AI lab/startup environment
- Experience designing and implementing testing and evaluations of cutting-edge AI systems
- Excellent communication skills with ability to work cross-functionally and influence outcomes
- Project management skills to optimize existing processes and create new processes
- Subject matter expertise in generative AI safety including CBRN, cyber, manipulation and alignment risks
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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