Threat Modeller, DeepMind

By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; London, UK.

Qualifications:

• PhD in Science, Engineering, Data Science or equivalent practical experience.
• 3 years of experience designing qualitative and quantitative models.
• 1 year of experience working within a national laboratory, research organization, government defense organization, military intelligence unit, or specialized research organization.

Preferred qualifications:

• Experience executing independent projects and synthesizing large datasets under tight deadlines in fast-paced environments.
• Experience red-teaming, evaluating, utilizing LLMs to identify systematic vulnerabilities and potential misuse.
• Experience communicating complex, high-consequence technical CBRNe risks into clear, actionable insights for business leaders, corporate governance bodies, and policy experts.
• Strong knowledge of dual-risk components of CBRNE domains and laboratory/defense paradigms.
• Understanding of model evaluation methodologies for determining the frontier risks of modern AI models.
• Proven track record reviewing complex technical reports and identifying critical risks and vulnerabilities under tight timeframes.

About the job:

Google’s CBRNE team (Chemical, Biological, Radiological, Nuclear and Explosives) ensures that as Gemini gets better at science, it does not become a tool for catastrophic harm. In this role, you will work intently with the Threat Modeling Lead to serve as a critical operational linchpin responsible for building out, maturing, and maintaining the threat models that evaluate and support the mitigation of dual-use risks of Google DeepMind’s most advanced AI models. Your work will contribute directly into the frontier safety framework (FSF), providing the rigorous risk-calibration needed to inform model releases and ensure safety-critical deployments.

We need a "doer", someone with the operational discipline to absorb vast quantities of complex scientific data, identify critical blind spots, and execute swiftly in a fast-paced environment. You will have an opportunity to apply real-world threat intelligence to the vanguard of artificial intelligence safety.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits.

Responsibilities:

• Refine and maintain the threat modeling framework to define critical thresholds, and integrate 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 organisations and subject matter experts.
• Monitor the external competitor landscape, emerging dual-use methodologies and broader frontier AI domain.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.