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Research Engineer, Cybersecurity RL (Reinforcement Learning)

Anthropic
Hybrid - San Francisco, CA or New York City, NY, at least 25% in officeUpdated 22h ago
Compensation
$500k–$850k
Published range · Top quartile for Engineering (815 listings)
Location
Hybrid - San Francisco, CA or New York City, NY, at least 25% in office
Remote eligibility
Employment
Full-time
Mid-level
Role family
Engineering
AI / ML
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About the job

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.

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

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.

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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

Skills & tags

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