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Google DeepMind · 16 hours ago

Research Engineer, CBRN

United States

Full-time

Remote

Mid Level

$166K/yr - $244K/yr

Google DeepMind is a team of scientists and engineers working to advance artificial intelligence for public benefit. The Research Engineer will focus on developing evaluations for CBRN risks associated with AI models, ensuring safety and ethical considerations are prioritized in the development process.

Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning

Growth Opportunities

Hiring Manager

Sophie Shearer

Responsibilities

Design and develop robust evaluations to test potential CBRN risks arising from cutting-edge AI models with strong capabilities in the physical sciences

Develop and maintain infrastructure for these evaluations

Run these evaluations prior to releases for new AI models

Resolve potential CBRN risks with state-of-the-art mitigations

Clearly communicate results to decision-makers

Collaborate with subject matter experts in CBRN, AI policy and ethics, model development, and scientific research

Develop and maintain an understanding of trends in AI development, CBRN threat landscapes, governance, and relevant sociotechnical research to inform the design of new evaluations

Qualification

PythonMachine LearningMathematicsStatisticsCBRN Risk AssessmentData AnalysisCommunication SkillsCollaboration

Required

Bachelor's degree in a technical subject (e.g., computer science, engineering, machine learning, mathematics, physics, statistics) or a relevant scientific field with strong computational experience (e.g., bioinformatics, computational chemistry, biotechnology, computational materials science), or equivalent practical experience

Proven ability to write clean, maintainable, and efficient Python

Knowledge of concepts in mathematics, statistics, and machine learning needed for understanding cutting-edge research in AI, CBRN-related modeling, and risk assessment

Ability to present and explain technical results clearly to non-experts and leadership stakeholders

Preferred

Master's or PhD in a field relevant to CBRN risk assessment or AI safety, such as chemical, biological, or nuclear engineering

Experience in CBRN threat analysis, risk assessment, modeling, or mitigation strategies

Familiarity with relevant datasets, benchmarks, or evaluation methodologies for CBRN risks in AI

Experience developing or working with safety-critical systems

Experience with data analysis tools and libraries for large-scale evaluation

Skill and interest in working on projects with many stakeholders, including scientific experts, policy teams, and engineers

Knowledge of international and national regulations or guidelines related to CBRN materials or technologies

Benefits

Bonus

Equity

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