Research Engineer, Gemini Cyber Post-Training
Google DeepMind · Mountain View, CA, USA · New York, NY, USA
Frontier labonsite$147k–$210k
At a glance
Highlights
- Advance Gemini cyber models and build scalable orchestration harnesses.
- Develop novel datasets and benchmarks to measure agent vulnerability skills.
- Contribute to DeepMind's Cyber Strike effort to secure software at scale.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
Independent, proactive researcher motivated by AI safety and security, who thrives bridging cutting-edge research with large-scale engineering to advance cyber capabilities.
Requirements
- PhD degree in Computer Science, or a related field, or equivalent practical experience
- 2 years of experience (industry or academia) working in Reinforcement Learning environments
- Experience building distributed system infrastructure
- One or more publication records in vulnerability research (e.g. auditing, reverse engineering, exploitation)
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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