As a Researcher for loss of control mitigations, you will help design and implement an end-to-end mitigation stack to reduce the risk of intentionally subversive or insufficiently controllable model behavior across OpenAI’s products and internal deployments. This role requires strong technical depth and close cross-functional collaboration to ensure safeguards are enforceable, scalable, and effective. You’ll contribute directly to building protections that remain robust as model capabilities, deployment patterns, and threat models evolve.

Design and implement mitigation components for loss of control risk—spanning prevention, monitoring, detection, containment, and enforcement—under the guidance of senior technical and risk leadership.

Integrate safeguards across product and research surfaces in partnership with product, engineering, and research teams, helping ensure protections are consistent, low-latency, and resilient as usage and model autonomy increase.

Evaluate technical trade-offs within the loss of control domain (coverage, robustness, latency, model utility, and operational complexity) and propose pragmatic, testable solutions.

Collaborate closely with risk modeling, evaluations, and policy partners to align mitigation design with anticipated failure modes and high-severity threat scenarios, including deceptive alignment, hidden subgoals, reward hacking, and attempts to evade oversight.

Execute rigorous testing and red-teaming workflows, helping stress-test the mitigation stack against increasingly capable and potentially subversive model behaviors—such as sandbagging, monitor evasion, exploit-seeking, unsafe tool use, or strategic deception—and iterate based on findings.