Anthropic Research Engineer, Cybersecurity RL at Anthropic developing and implementing reinforcement learning approaches for AI system security. Collaborates with researchers and engineers to advance AI safety and cybersecurity.
Responsibilities
At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity.
This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.
This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML.
Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions
Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings
Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest
This role may require participation in an on-call rotation.
You may be a good fit if you
Have experience with machine learning.
Have experience in cybersecurity research.
Have strong software engineering skills.
Can balance research exploration with engineering implementation.
Qualification
Experience with machine learningExperience in cybersecurity researchStrong software engineering skillsBachelor’s degree or equivalent
Required
Experience with machine learning
Experience in cybersecurity research
Strong software engineering skills
Ability to balance research exploration with engineering implementation
Bachelor’s degree or equivalent
Preferred
Professional experience in security engineering, fuzzing, detection and response
