Threat Modeler Lead, CBRN, DeepMind

About the role

At Google DeepMind, the frontier of AI brings extraordinary opportunities—and unprecedented responsibilities. The Responsible Development and Innovation (ReDI) team operates at this intersection, including the operation of state-of-the-art measurement and evaluation of AI risks in the chemical, biological, radiological, nuclear, and explosives (CBRNe) domains.

Responsibilities

• Refine and maintain the threat modeling framework to define critical thresholds, and integrate these models into FSF review processes to support deployment decision-making.
• Partner cross-functionally to design and implement evaluations identifying CBRNe-related risks in high-capability AI models.
• Collaborate across evaluation and mitigation teams to determine if deployment safeguards are adequate for high-capability models.
• Engage with external stakeholders including governmental entities, third party organizations (including the Frontier Model Forum) and external subject matter experts.
• Monitor the external engaged landscape, emerging dual-use methodologies and broader frontier AI domain.

Qualifications

• PhD degree in Science, Engineering, Data Science, a related field, or equivalent practical experience.
• 2 years of experience within a national laboratory, government defense organization, military intelligence unit, or specialized research institution.
• Experience communicating deeply complex, high-consequence technical CBRNe risks into clear, actionable insights for business leaders, corporate governance bodies, and policy experts.
• Experience executing independent projects and synthesizing large datasets under tight deadlines in fast-paced environments.
• Experience understanding complex issues through qualitative/quantitative models for decision-making with imprecise data.
• Experience red-teaming, evaluating, utilizing LLMs to identify systematic vulnerabilities and potential misuse scenarios.
• Knowledge of dual-risk components of CBRNe domains, with emphasis on biological risks and laboratory/defense paradigms.
• Track record of reviewing complex technical reports and identifying critical risks and vulnerabilities under tight timeframes.

Pay

• US: $174,000 - $253,000 (USD) + 15% bonus target + equity + benefits

Schedule

• Full-time

Benefits

• See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.