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OpenAI

Researcher, Agent Safety, Oversight and System Mitigations

OpenAI
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hybrid Full time $380K - $500K San Francisco

First indexed 4 Sept 2026

Description

We are seeking a safety and security-minded researcher or engineer to join our Agent Safety team. The successful candidate will work on oversight and system-level mitigations that enable increasingly capable agents to operate safely and autonomously in real environments.

Responsibilities:

  • Design, build, and evaluate system-level controls for agent actions
  • Work closely with a Codex harness engineering team to productionize AI controls
  • Red-team end-to-end agentic systems to measure whether controls prevent data exfiltration, unsafe tool use, and other harmful outcomes
  • Improve the safety–productivity tradeoff by measuring and reducing missed harmful actions, unnecessary blocks, approval burden, and latency

Requirements:

  • Strong systems or security instincts and ability to reason concretely about isolation boundaries, permissions, attack surfaces, and failure modes in complex systems
  • Experience turning ambiguous safety questions into concrete threat models, reproducible experiments, and practical mitigations
  • Ability to build robust experimental infrastructure and design evaluations that distinguish promising mitigations from brittle ones
  • Deep interest in frontier AI alignment, safety, and control

Benefits:

  • $380K – $500K salary
  • Generous equity
  • Medical, dental, and vision insurance for you and your family
  • 401(k) retirement plan with employer match
  • Paid parental leave, medical and caregiver leave, and paid time off
  • 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
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://jobs.ashbyhq.com/openai/7d49af15-623e-476a-9d35-831c5c9c9bf5