1–2 USD / year
Research Engineer, Cybersecurity RL (Reinforcement Learning)
Machine learningHybrid — San Francisco, CA, New York City, NY
Published on 2026-11-06
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About this role
Develop reinforcement-learning approaches that advance AI capabilities in defensive cybersecurity. The role combines research and software engineering, from designing RL environments and evaluations to integrating results into production training runs.
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
Security team
What you'll do
- Design and implement reinforcement-learning environments, experiments, and evaluations
- Deliver research into production training runs
- Build agentic integrations for autonomous investigation and action on analytical findings
- Collaborate with researchers, safety teams, engineers, and cybersecurity specialists
- Help set team strategy and priorities
What we're looking for
- Machine-learning experience
- Cybersecurity research experience
- Strong software-engineering skills
- Ability to balance research exploration with engineering implementation
- Bachelor’s degree or equivalent relevant education, training, or experience
Nice to have
- Security engineering, fuzzing, detection and response, or other defensive cybersecurity experience
- Experience participating in or building CTF competitions or cyber ranges
- Academic cybersecurity research or other experimental research experience
- 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