The role is for a Research Engineer in Anthropic’s Horizons team focused on cybersecurity reinforcement learning. Responsibilities include designing and implementing RL environments, conducting experiments, delivering production-ready training runs, and collaborating with cross‑functional researchers and engineers. Candidates should have experience in cybersecurity research, machine learning, strong software engineering skills, and a passion for safe AI development. The position is hybrid, located in San Francisco, CA or New York City, NY, and offers competitive compensation, optional equity donation matching, generous vacation and parental leave, flexible hours, and a collaborative office environment.
Research Engineer, Cybersecurity RL (Reinforcement Learning) at Anthropic
Hybrid - San Francisco, CA; New York City, NY
More jobs at AnthropicSalary
USD 300,000 - 405,000
Requirements
Skills
- 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 commitment to developing safe and beneficial systems
- professional experience in security engineering, fuzzing, detection and response, or other applied defensive work
- experience participating in or building CTF competitions and cyber ranges
- academic research experience in cybersecurity
- familiarity with RL techniques and environments
- familiarity with LLM training methodologies
Responsibilities
- develop novel approaches to cybersecurity reinforcement learning
- design and implement RL environments
- conduct experiments and evaluations
- deliver work into production training runs
- collaborate with researchers, engineers, and cybersecurity specialists
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