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Researcher, Frontier Cybersecurity Risks

OpenAI· Safety Systems
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San Francisco$380k - $500kFull-timePosted 2mo ago

About the role

Researcher role focusing on designing and implementing an end-to-end mitigation stack to reduce severe cyber misuse across OpenAI products, with cross-functional collaboration to ensure safeguards are enforceable, scalable, and effective in evolving product capabilities and attacker behaviors.

Responsibilities

  • Design and implement mitigation components for model-enabled cybersecurity misuse—spanning prevention, monitoring, detection, and enforcement—under the guidance of senior technical and risk leadership.
  • Integrate safeguards across product surfaces in partnership with product and engineering teams, helping ensure protections are consistent, low-latency, and scale with usage and new model capabilities.
  • Evaluate technical trade-offs within the cybersecurity risk domain (coverage, latency, model utility, and user privacy) and propose pragmatic, testable solutions.
  • Collaborate closely with risk and threat modeling partners to align mitigation design with anticipated attacker behaviors and high-impact misuse scenarios.
  • Execute rigorous testing and red-teaming workflows, helping stress-test the mitigation stack against evolving threats and across different product surfaces—then iterate based on findings.

Qualifications

  • Have a passion for AI safety and are motivated to make cutting-edge AI models safer for real-world use.
  • Bring demonstrated experience in deep learning and transformer models.
  • Are proficient with frameworks such as PyTorch or TensorFlow.
  • Possess a strong foundation in data structures, algorithms, and software engineering principles.
  • Are familiar with methods for training and fine-tuning large language models, including distillation, supervised fine-tuning, and policy optimization.
  • Excel at working collaboratively with cross-functional teams across research, security, policy, product, and engineering.
  • Have significant experience designing and deploying technical safeguards for abuse prevention, detection, and enforcement at scale.
  • (Nice to have) Bring background knowledge in cybersecurity or adjacent fields.

Skills

Required:Deep learningPyTorch or TensorFlowSoftware engineering principles
Nice to have:Training and fine-tuning LLMs

Benefits

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
Last updated Oct 15, 2026. Interested? Apply on the company site.

About OpenAI

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Company profileWebsite

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