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Research Engineer, Cybersecurity RL Job at Anthropic | Apply

On-site · San Francisco, California Senior Full-time USD 500k–850k / yr Posted just now International
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About the role

Anthropic is hiring a Research Engineer for the Cybersecurity RL team within Horizons. You will help safely advance the capabilities of its models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity. The role blends research and engineering: you develop novel approaches and build them in code. It requires cybersecurity expertise paired with an interest in, or experience of, training safe AI models.

Key Responsibilities

  • Design and implement RL environments.
  • Run experiments and evaluations.
  • Deliver your work into production training runs.
  • Work with researchers, engineers, and cybersecurity specialists inside and outside Anthropic.
  • Develop novel approaches and turn them into working code.
  • Help advance model capabilities in secure coding, vulnerability remediation, and defensive cybersecurity.

Requirements

  • Bachelor’s degree, or an equivalent combination of education, training, and experience, in a field relevant to the role.
  • 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 a commitment to building safe, beneficial systems.

Skills

Technical Skills

  • Cybersecurity research
  • Machine learning
  • Software engineering
  • RL environments, experiments, and evaluations

Soft Skills

  • Balancing research and engineering
  • Cross-team collaboration
  • Strong communication
  • Commitment to safe and beneficial AI

Nice to Have

  • 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.

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space for collaboration

Anthropic
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