Research Engineer, Cybersecurity RL (Reinforcement Learning)
Anthropic · San Francisco, CA | New York City, NY · San Francisco, CA
Frontier labonsite$1–$2
At a glance
Highlights
- Advance AI for incident response, security analysis and vulnerability remediation.
- Design and implement RL environments and deliver work into production training runs.
- Build agentic integrations letting AI autonomously investigate analytical findings.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
Ideal candidate
You blend ML research with hands-on cybersecurity experience, balancing exploration and engineering to ship real systems. Passionate about safe, beneficial AI, you thrive collaborating across teams on defensive security.
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 experience
- remote policy
- Hybrid, expected in office at least 25% of the time
- visa sponsorship
- We sponsor visas but cannot guarantee sponsorship for every role and candidate
Lab profile
About Anthropic
AI safety company building reliable, interpretable and steerable frontier AI systems.
What they build
- Claude
- Claude API
- Claude Code
Known for
- AI safety and alignment
- Model interpretability research
- Frontier LLM development
Key facts
- Founded in 2021
- Headquartered in San Francisco, California
- Backed by Amazon and Google
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