Offensive Security Engineer, Preparedness at OpenAI

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Offensive Security Engineer, Preparedness
San Francisco, California, United States


About the team

Frontier AI models have the potential to benefit all of humanity but also pose increasingly severe risks. To ensure that AI promotes positive change, we have dedicated a team to help us best prepare for the development of increasingly capable frontier AI models. This team, Preparedness, reports directly to our CTO and is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.

Specifically, the mission of the Preparedness team is to:

  • Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards misuse risks whose impact could be catastrophic (not necessarily existential) to our society and ensure we have concrete procedures, infrastructure, and partnerships to mitigate these risks and, more broadly, to handle the development of powerful AI systems safely.

Our team will tightly connect capability assessment, evaluations, internal red teaming for frontier models, and overall coordination on AGI preparedness. The team’s core goal is to ensure that we have the infrastructure needed for the safety of highly capable AI systems—from the models we develop in the near future to those with AGI-level capabilities. 

About the role:

We are looking to hire an exceptional offensive security engineer to push the boundaries of our frontier models. We are looking for those with an expert grasp of offensive security, AI safety concerns, and how our frontier models will shape offensive security capabilities.

In this role, you will:

  • Work on identifying offensive security capabilities present in frontier models, and how they might assist with adversarial cybersecurity operations.
  • Assist in building and refining evaluations of frontier AI models that assess the extent of these identified risks.
  • Build scalable systems and processes to support these evaluations.
  • Contribute to the refinement of risk management and the overall development of "best practice" guidelines for AI safety evaluations

You might thrive in this role if you are:

  • Passionate and knowledgeable about short-term and long-term AI safety risks.
  • An expert in modern adversary tactics and vulnerability research
  • Knowledgeable about exploit development and reverse engineering techniques
  • Have experience leading red-team and penetration testing engagements
  • Be able to translate your cybersecurity expertise and any findings to research engineers building capability evaluations.

It would be great if you also have:

  • Experience in ML research engineering, ML observability and monitoring, creating large language model-enabled applications, or another technical domain applicable to AI risk
  • A good understanding of the (nuances of) societal aspects of AI deployment

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. 

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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