Anthropic’s Horizons team leads reinforcement learning research and development, playing a critical role in advancing AI systems. The Cybersecurity RL Research Engineer will help safely advance model capabilities in secure coding, vulnerability remediation, and defensive cybersecurity. This role blends research and engineering, requiring development of novel approaches and their implementation in code, including designing RL environments, conducting experiments, evaluating results, and delivering production training runs while collaborating across teams.
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
- Designing and implementing reinforcement learning environments
- Conducting experiments and evaluations
- Delivering work into production training runs
- Collaborating with researchers, engineers, and cybersecurity specialists
Technologies
Reinforcement LearningMachine LearningLLM Training
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