Teams at AI Security Institute

Design and build reliable systems, manage technical projects, write high-quality Python code, and collaborate with researchers to deliver functional software solutions.

Lead design and interpretation of empirically rigorous evaluations of AI systems on virology-relevant tasks. Translate ambiguous biological risk questions into testable evaluations, analyse results and uncertainties, advise on mitigations and evidence standards, produce briefings for senior decision-makers, and collaborate across researchers, policy, and biosecurity communities to ensure technically rigorous, policy-relevant outcomes.

Develop and maintain research-oriented software and infrastructure for evaluation and model hosting. Implement features for Inspect, support open-weights model hosting, design custom research infrastructure, collaborate with researchers, and debug evaluation systems. Work spans cloud infrastructure, MLOps tooling, and open-source contributions.