Radiological Expert
Google DeepMind · New York, NY, USA
Frontier labonsite$174k–$252k
At a glance
Highlights
- Evaluate frontier AI models for radiological safety risks at Google DeepMind.
- Build threat models for fission, fusion, and high-energy dual-use regimes.
- Design mitigations that block harmful outputs without degrading scientific utility.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
A collaborative PhD-level physicist or nuclear engineer passionate about AI safety and responsible innovation, eager to translate deep radiological expertise into safer frontier models.
Requirements
- PhD and postdoctoral research in particle physics, plasma physics, nuclear engineering or related field
- 3 years research experience with US national laboratories or security initiatives
- Experience in radiological/nuclear security, safeguards, nonproliferation, material control or threat reduction
- Experience in radiation/neutron transport, reactor monitoring, detection, dosimetry, shielding and RDD/RED mechanics
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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