Anthropic
Research Engineer, Cybersecurity RL (Reinforcement Learning)
$500K–$850K
San Francisco, CA +2 · Full-time · Posted Dec 9, 2025
- Location
- San Francisco, CA
New York City, NY
San Francisco, California, United States - Experience
- Years required correlate with the internal job level requirements for the position.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; field relevant to the role as demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa and provides an immigration lawyer.
About the job
Develop and evaluate reinforcement learning approaches that safely improve AI models for secure coding, vulnerability remediation, and defensive cybersecurity.
What you'll do
- Design and implement RL environments; conduct experiments and evaluations.
- Deliver work into production training runs.
- Collaborate with researchers, engineers, and cybersecurity specialists.
What they ask for
- Experience in cybersecurity research.
- Experience with machine learning.
- Strong software engineering skills.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study demonstrated through coursework, training, or professional experience.
Nice to have
- Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work; experience with CTF competitions or cyber ranges.
- Academic cybersecurity research; familiarity with RL techniques and environments or LLM training methodologies.
Pay
$500,000 — $850,000 USD (base salary)
Tools
RL, LLMs
AI focus
Train and evaluate safe AI models for secure coding, vulnerability remediation, and defensive cybersecurity.
Model-written summary · the original posting is authoritative