Research Engineer, Cybersecurity RL (Reinforcement Learning)

Anthropic · San Francisco, CA | New York City, NY · AI Research & Engineering · listed December 9, 2025

The shape of it

Seniority
Not stated
Where
Hybrid
Stated pay
$300,000 – $405,000 USD
Requirements listed
5
Length
987 words

In the posting’s own words

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.

What it asks for · 5

  • 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.

Also a plus

  • 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.

Tools and skills named

Models & research
  • LLM3×
  • Machine learning2×
  • Evaluations
Security & compliance
  • Security3×

Words the posting leans on

  • experience11×
  • cybersecurity8×
  • research8×
  • engineering7×
  • defensive4×
  • experience cybersecurity4×
  • familiarity4×
  • training4×
  • engineer3×
  • models3×
  • response3×
  • academic research2×
  • applied defensive2×
  • balance research2×
  • beneficial systems2×
  • building ctf2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 24, 2026 and last changed by Anthropic on August 21, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.