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Anthropic

Research Engineer, Cybersecurity RL (Reinforcement Learning)

Anthropic · San Francisco, CA | New York City, NY

Posted about 2 months ago

or apply directly on Anthropic's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Anthropic's roles stay open a median of 62 days
Reposted
No
Salary listed
No
0% of Anthropic's roles list one
Ghost-job risk at Anthropic
high
449 stale, 19 reposted of 603 open
Hiring momentum
795 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Anthropic's own greenhouse board since 2026-08-03. Full hiring picture for Anthropic.

About this role

As a Research Engineer on the Cybersecurity RL team at Anthropic, you will blend research and engineering to enhance AI capabilities in secure coding and vulnerability remediation. Your responsibilities will include designing RL environments, conducting experiments, and collaborating with other experts in the field. The role requires a strong foundation in cybersecurity and an interest in safe AI model training.

Our read on this posting2.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anthropic as an employer.

What you need

  • Experience in cybersecurity research
  • Experience with machine learning
  • Strong software engineering skills
  • Ability to balance research exploration with engineering implementation
  • Passion for AI's potential and commitment to developing safe and beneficial systems

Nice to 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

What you get

  • Competitive compensation
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Collaborative office space

Worth weighing

  • No specific mention of remote work flexibility beyond hybrid policy
  • Visa sponsorship is available but not guaranteed for all roles
  • High salary range may indicate high expectations or pressure

Summarised from Anthropic's posting. Read the full original.

Listed by Anthropic on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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