500K–850K USD / year
Research Engineer, Cybersecurity RL
Machine learningHybrid — San Francisco, CA, New York City, NY
Published on 2026-11-08
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About this role
Develop and evaluate reinforcement learning approaches that advance AI capabilities in secure coding, vulnerability remediation, and defensive cybersecurity. The role combines research with software engineering, from building RL environments and running experiments to integrating results into production training.
About the company
Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.
The team
Cybersecurity RL team within Horizons
What you'll do
- Design and implement reinforcement learning environments
- Conduct experiments and evaluations
- Deliver research into production training runs
- Collaborate with researchers, engineers, and cybersecurity specialists
What we're looking for
- Experience in cybersecurity research
- Experience with machine learning
- Strong software engineering skills
- Ability to balance research exploration with engineering implementation
- Interest in developing safe and beneficial AI systems
Nice to have
- Professional experience in security engineering, fuzzing, detection and response, or applied defensive work
- Experience participating in or building CTF competitions and cyber ranges
- Academic research experience in cybersecurity
- Familiarity with reinforcement learning techniques and environments
- Familiarity with LLM training methodologies
Benefits
- Generous vacation and parental leave
- Flexible working hours
- Optional equity donation matching