Frontier AI Cybersecurity Researcher - Threat Mitigation

OpenAI; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

OpenAI is seeking a Researcher for cybersecurity risks to design and implement an end-to-end mitigation stack that reduces severe misuse across our products. You will work with researchers, engineers, and policy teams to ensure safeguards are robust, scalable, and adaptable as models evolve.

You will contribute to measuring capabilities, testing protection mechanisms, and improving defenses against novel exploits and attacker workflows, while aligning with risk leadership and product partners.

Qualifications

• Strong background in deep learning and transformer models.
• Proficiency with PyTorch and TensorFlow.
• Solid foundations in data structures, algorithms, and software engineering.

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.

Skills

Deep learning

Transformer models

Data structures

Algorithms

Software engineering

Large language models

Distillation

Supervised fine-tuning

Policy optimization

Tools

PyTorch

TensorFlow

Job description

OpenAI is seeking a Researcher for cybersecurity risks to design and implement an end-to-end mitigation stack that reduces severe misuse across our products. You will work with researchers, engineers, and policy teams to ensure safeguards are robust, scalable, and adaptable as models evolve.

You will contribute to measuring capabilities, testing protection mechanisms, and improving defenses against novel exploits and attacker workflows, while aligning with risk leadership and product partners.