Researcher, Automated Red Teaming

About the team

Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security that could scale to an extreme level of severity.

Our work involves:

1. Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems.

2. Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future.

3. 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

This role leads the Automated Red Teaming (ART) effort: building scalable, research-driven systems that continuously uncover failure modes in our models and safeguards, and translate those findings into actionable, production-facing improvements. The goal is to reduce expected harm by finding the highest-leverage, least-covered weaknesses early and reliably.

In this role, you'll:

• Own the research and technical direction for automated red teaming across catastrophic risk areas, with an initial emphasis on:

  • Automated classifier jailbreak discovery (cyber and bio).

  • Automated bio threat-development elicitation (worst-feasible planning uplift).

  • CoT monitoring evasion probing (and adjacent loss-of-control evaluations).

• Partner closely with:

  • Vertical risk teams (Cyber, Bio, Loss of Control) to define threat models, prioritize targets, and land mitigations.

  • The Classifiers team to turn discovered attacks into training data, evals, and measurable robustness gains.

  • Product / Engineering / Safety stakeholders to ensure ART outputs are operationally useful.

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