Teams at AI Security Institute

Evaluate and test frontier AI models for cybersecurity and autonomy. Build and run realistic evaluations (cyber ranges, CTFs), perform pre-deployment testing, validate novel model behaviours, and collaborate with government, labs, and partners to inform AI risk and governance.

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

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.