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Research Engineer, Cybersecurity RL; Reinforcement Learning

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Anthropic
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    Cybersecurity, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 300000 - 405000 USD Yearly USD 300000.00 405000.00 YEAR
Job Description & How to Apply Below
Position: Research Engineer, Cybersecurity RL (Reinforcement Learning)

About the role

We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, 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.

The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. For example, you might be a white hat hacker who is curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows.

You

may be a good fit if you:
  • Have experience in cybersecurity research.
  • Have experience with machine learning.
  • Have strong software engineering skills.
  • Can balance research exploration with engineering implementation.
  • Are passionate about AI's potential and committed to developing safe and beneficial systems.
Strong candidates may also 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.
Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Compensation: The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary: $300,000 — $405,000 USD

Benefits:
We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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