Teams at AI Security Institute

Conduct research and engineering on misuse risks in frontier AI systems. Responsibilities include designing and evaluating automated attacks, red-teaming safeguards, developing attack tooling, benchmarking misuse monitoring, investigating data-poisoning attacks and defenses, and producing actionable reports. The role may lead technical research direction or execution, including scalable, reliable, reproducible machine learning experiments and collaboration with frontier AI labs and government stakeholders.

Design and run experiments assessing AI control measures, build adversarial attacks against monitors and sandboxes, and conduct security analyses of frontier AI deployments. Develop reusable ML tooling, automate attack and evaluation loops with LLMs, operate model-training and serving infrastructure, and produce rigorous research and decision-relevant reports for industry and government.

Seeking AI research scientists and engineers to develop agentic controls, incident response, and forensic capabilities for advanced AI agents. Conduct hands-on research, design scalable detection and control approaches, work with frontier models and compute, collaborate with government and industry stakeholders, and contribute to publication and operational readiness.