Research Engineer, Frontier Safety Mitigations
Google DeepMind · Mountain View, CA, USA · San Francisco, CA, USA
Frontier labonsitesenior$174k–$252k
At a glance
Highlights
- Build next-gen safety mitigations for frontier Gemini models.
- Defend against critical misuse in cybersecurity, CBRNE and manipulation.
- Develop classifiers and monitoring to detect coordinated harms.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
Applied builder who cares deeply about keeping frontier AI safe and beneficial. You thrive in fast-paced teams tackling ambiguous risks and turning research into robust real-world defenses.
Requirements
- Bachelor's degree or equivalent practical experience
- 5 years of experience with software development in one or more programming languages
- 3 years of experience testing, maintaining, or launching software products
- 1 year of experience with software design and architecture
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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