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Google DeepMind · 14 hours ago

Nuclear Engineer (2 year Fixed Term Contract)

Mountain View, CA

Contract

Onsite

Senior Level

$197K/yr - $291K/yr

Google DeepMind is a pioneering company focused on advancing artificial intelligence for public benefit. They are seeking a nuclear engineer to work on radiological and nuclear safety evaluations, ensuring the safety and responsibility of their AI model releases.

Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning

Growth Opportunities

Hiring Manager

Sophie Shearer

Responsibilities

Design, develop and execute radiological and nuclear evaluations to test the safety of cutting edge AI models

Clearly communicate results to relevant teams and decision-makers

Collaborate with experts in various fields of science, AI ethics, policy and safety

Influence harm frameworks and mitigation strategies

Qualification

PhD in Nuclear EngineeringRadiation physicsNuclear safety evaluationsRadioactive material handlingNuclear securityAI model experiencePassion for scienceCritical thinkingTechnical presentation

Required

PhD in Nuclear Engineering (postdoctoral Preferred but not essential), or

PhD in nuclear and particle physics with NNSA and/or weapons lab experience, or

PhD in radiation physics with NNSA and/or weapons lab experience (postdoctoral Preferred but not essential)

Demonstrated history across some of these specialisms would be desirable including: Radioactive material handling, radiation transport modeling, criticality safety analysis, Reactor systems, fissile material production/characterization, explosives coupling, Nuclear physics, radiation physics, Nuclear security, arms control, nonproliferation

Ability to think critically and creatively about potential misuse scenarios of emerging technologies

Ability to present technical results clearly

Passion for accelerating science using innovative technologies

Knowledge of or experience using narrow science models (e.g. Alphafold, Enformer, or any other AI model used for specific scientific tasks etc)

Preferred

Knowledge or experience with IAEA, NRC/DOE regulations

Practical experience in LANL, LLNL, Sandia

Understanding of Safety Frameworks in AI

An interest in the ethics and safety of AI systems, and in AI policy. Experience contributing to dual-use novel science evaluations

Skill and interest in working on projects with many stakeholders internal to GDM and externally across the scientific community

Benefits

Bonus

Benefits

Company

Google DeepMind

Glassdoor4.5

Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.

Founded in 2010