Research Engineer, Cybersecurity RL (Reinforcement Learning)
AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.
Funding history
About Anthropic
Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.
Skills
About the Role
You will help advance AI model capabilities in incident response, security analysis, vulnerability remediation and other defensive cybersecurity areas. You'll design and implement RL environments, run experiments and evaluations, deliver work into production training runs, and collaborate with researchers, engineers and cybersecurity specialists. You'll also build agentic integrations and help shape the team's direction. On-call participation may be required.
Requirements
- 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 combination of education, training, and/or experience
Responsibilities
- Partner with researchers and safety teams to understand analytical needs and build solutions
- Develop agentic integrations that let AI systems autonomously investigate and act on analytical findings
- Design and implement RL environments
- Conduct experiments and evaluations
- Deliver work into production training runs
- Contribute to the strategic direction of the team
- Participate in an on-call rotation if required
Benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Visa sponsorship
