Research Engineer, Cybersecurity RL (Reinforcement Learning)
Anthropic· AI Research & Engineering
Hybrid (San Francisco, CA; New York City, NY)$500k - $850knot specifiedPosted 10mo ago
About the role
Research Engineer role within the Horizons team focused on cybersecurity RL, designing and implementing reinforcement learning environments and experiments to advance secure coding, vulnerability remediation, and other defensive cybersecurity capabilities, and delivering work into production training runs.
Responsibilities
- Design and implement RL environments for cybersecurity tasks
- Conduct experiments and evaluations of RL approaches
- Deliver work into production training runs
- Collaborate with researchers, engineers, and cybersecurity specialists across Anthropic and externally
- Develop novel approaches at the intersection of cybersecurity and AI safety
- Balance research exploration with engineering implementation
Qualifications
- Experience in cybersecurity research
- Experience with machine learning
- Strong software engineering skills
- Ability to balance research exploration with engineering implementation
- Passion for AI's potential and safe/beneficial systems
Skills
Required:Cybersecurity research experienceMachine learning experienceSoftware engineeringRL environment designProduction ML training deploymentCollaboration across teams
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space
Last updated Oct 14, 2026. Interested? Apply on the company site.
About Anthropic
building reliable, interpretable, and steerable AI systems
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
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