or apply directly on Anthropic's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 9 days Anthropic's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- No 0% of Anthropic's roles list one
- Ghost-job risk at Anthropic
- high 276 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
- 2026-09-17
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 in Cybersecurity at Anthropic, you will work at the intersection of machine learning and cybersecurity to enhance the safety of AI systems. Your responsibilities will include designing reinforcement learning environments, conducting experiments, and collaborating with teams to develop solutions for incident response and vulnerability remediation. This role requires both research and engineering skills, with a focus on delivering practical implementations of your work.
- benefits
- 3/5
- freshness
- 4/5
- 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 with machine learning
- Experience in cybersecurity research
- 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
- Bachelor’s degree or equivalent experience in a relevant field
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 or other experimental & research background
- Familiarity with RL techniques and environments
- Familiarity with LLM training methodologies
What you get
- Competitive compensation
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space for collaboration
- Optional equity donation matching
Worth weighing
- No specific salary figures listed
- Participation in an on-call rotation may be required
- Visa sponsorship is available but not guaranteed for all roles
- Hybrid work policy requires at least 25% office presence
Summarised from Anthropic's posting. Read the full original.
Listed by Anthropic on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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