Radiological AI Safety Scientist

Google LLC; New York (NY); On-site; USD 174,000 - 252,000; Full time

Job summary

Google LLC, via DeepMind, seeks a Radiological Subject Matter Expert in the CBRNE team within the Responsible Development and Innovation (ReDI) group in New York, NY. The role focuses on evaluating and mitigating safety risks of frontier AI models in the radiological domain, including radiation transport modeling and detector-related challenges.

The successful applicant will be a technical expert with a PhD/Postdoc background and relevant security research experience, contributing to policy

Qualifications

• PhD and Postdoctoral research experience in Particle Physics, Plasma Physics, Nuclear Engineering, or a related field.
• 3 years of experience in research 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 defeat, and RDD/RED mechanics.

Responsibilities

• Construct threat models prioritizing vulnerabilities, threat actors, and scenarios related to fission, fusion, thermonuclear weapons development, and high-energy-density dual-use regimes.
• Collaborate with engineers to design mitigations that block harmful outputs without overly degrading the model’s scientific utility.
• Support development and refinement of Google’s nuclear safety policy. Communicate complex risks, evaluation findings, and mitigation strategies to leadership and technical/non-technical external stakeholders.
• Develop mathematical and computational frameworks to quantify capability thresholds, technical feasibility, and potential consequences of model uplift wherever possible.

Skills

Research experience

ML for radiation

AI safety

Data analysis

Education

PhD or Postdoc

Job description

Google LLC, via DeepMind, seeks a Radiological Subject Matter Expert in the CBRNE team within the Responsible Development and Innovation (ReDI) group in New York, NY. The role focuses on evaluating and mitigating safety risks of frontier AI models in the radiological domain, including radiation transport modeling and detector-related challenges.

The successful applicant will be a technical expert with a PhD/Postdoc background and relevant security research experience, contributing to policy