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Offensive Security RL Researcher

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Offensive Security RL Researcher in USA new

  • San Francisco, CA

Responsibilities

  • Drive the roadmap for cybersecurity evaluations and environments and prioritize engineering resources.
  • Build and run the production systems that generate cybersecurity environments.
  • Recruit, onboard, and manage part-time cybersecurity experts reviewing environments for fairness, correctness, and quality.
  • Work with frontier AI lab researchers to understand their cybersecurity data needs and sell appropriate environments.
  • Write and communicate prioritization decisions and research findings clearly.

Requirements

  • At least 3 years of professional cybersecurity experience and a reputation placing the candidate among the top 5% of peers.
  • Deep hands-on experience in at least one of web application penetration testing, bug bounty hunting, vulnerability or zero-day research, hacking agents, or AI security.
  • Strong connections within the security community.
  • Ability to write and ship production code using Python, TypeScript, or similar technologies.
  • Strong written communication skills.
  • Preferred qualifications include public bug bounty results, live-hacking-event invitations, Pwn2Own placements, published original research, experience managing or mentoring security researchers, expertise measuring non-binary security work, and experience building research tools or automation.

Benefits

  • $200K–$500K base salary plus meaningful equity.
  • Healthcare and 401(k).
  • 15 days of PTO per year.
  • Relocation assistance.
  • In-person work in San Francisco.
  • Opportunity to sponsor and co-publish AI security research under the researcher’s name.

Salary: $200k - $500k/yr

Idler

Idler builds reinforcement learning environments that teach AI models to code at expert human levels. We create training environments based on real-world coding scenarios that prepare models for the complex challenges they'll face in production.

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