About the job
We are seeking a Senior Researcher who is passionate about red-teaming and AI safety. In this role you will design and execute cutting-edge attacks, build adversarial evaluations, and advance our understanding of how safety measures can fail—and how to fix them. Your insights will directly influence OpenAI’s product launches and long-term safety roadmap.
Responsibilities
Design and implement worst-case demonstrations that make AGI alignment risks concrete for stakeholders, focused on high stakes use cases described above.
Develop adversarial and system-level evaluations grounded in those demonstrations, driving adoption across OpenAI.
Create automated tools and infrastructure to scale automated red-teaming and stress testing.
Conduct research on failure modes of alignment techniques and propose improvements.
Publish influential internal or external papers that shift safety strategy or industry practice. We aim to concretely reduce existential AI risk.
Partner with engineering, research, policy, and legal teams to integrate findings into product safeguards and governance processes.
Mentor engineers and researchers, fostering a culture of rigorous, impact-oriented safety work.
Qualifications
Minimum
Already are thinking about these problems night and day, and share our mission to build safe, universally beneficial AGI and align with the OpenAI Charter.
Have 4+ years of experience in AI red-teaming, security research, adversarial ML, or related safety fields.
Possess a strong research track record—publications, open-source projects, or high-impact internal work—demonstrating creativity in uncovering and exploiting system weaknesses.
Are fluent in modern ML / AI techniques and comfortable hacking on large-scale codebases and evaluation infrastructure.
Communicate clearly with both technical and non-technical audiences, translating complex findings into actionable recommendations.
Enjoy collaboration and can drive cross-functional projects that span research, engineering, and policy.
Preferred
Hold a Ph.D., master’s degree, or equivalent experience in computer science, machine learning, security, or a related discipline (nice to have but not required).