Threat Modeler, Preparedness
OpenAIAbout the Team
Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats that could scale to an extreme level of severity.
Our work involves:
Tracking and prediction. Monitoring and predicting the evolving misalignment propensities and capabilities of frontier AI systems.
Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future.
Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework, and partnering with other staff to achieve these targets.
This is urgent, fast-paced work that has far-reaching implications for the company and for society.
About the Role
As a threat modeler, you will own OpenAI’s holistic approach to identifying, modeling, and forecasting frontier risks from frontier AI systems. This role ensures that our evaluation frameworks, safeguards, and taxonomies are robust, high-coverage, and forward-looking. You will help the company answer the “why” behind our most stringent risk-prevention efforts, shaping the rationale for prioritizing and mitigating risks across domains. You will serve as a central node connecting technical, governance, and policy perspectives on prioritization, focus and rationale on our approach to frontier risks from AI.
In this role, you will:
Develop and maintain comprehensive threat models across all misuse areas (bio, cyber, attack planning, etc.).
Develop plausible and convincing threat models across loss of control, self-improvement, and other possible alignment risks from frontier AI systems
Forecast risks by combining technical foresight, adversarial simulation, and emerging trends.
Pair closely with technical partners on capability evaluations to ensure these map to and cover the gambit of severe risks differentially enabled by frontier AI systems.
Pair closely with Bio and Cyber Leads to size the remaining risk of the designed safeguards and translate threat models into actionable mitigation designs.