# Research Engineer / Scientist, Frontier Red Team (Cyber) at Anthropic

> Closed role observed by RunReq as of 2026-08-30T19:46:02.082808+00:00.

## Role details

- Company: [Anthropic](http://runreq.com/company/anthropic/index.md)
- Location: San Francisco, CA
- Team: AI Research & Engineering
- Compensation: $320K–$485K /YR
- First observed: 2026-06-22T04:37:27.147857+00:00
- Days open: 68
- Employer posting: [View the authoritative posting](https://job-boards.greenhouse.io/anthropic/jobs/5076477008)

## Shortened description

### Key responsibilities

- Develop systems, tools, and frameworks for AI enabled cybersecurity, including vulnerability discovery, remediation, malware detection, network hardening, and penetration testing.
- Design and run experiments to evaluate autonomous AI cyber capabilities in realistic security environments.
- Build infrastructure to evaluate and enable AI systems in security environments.
- Translate technical findings into demonstrations and artifacts that inform policymakers and the public.

### Qualifications needed

- You need deep expertise in cybersecurity or security research, strong Python software engineering skills, and experience with LLM based agents or autonomous systems.
- You need a Bachelor’s degree or equivalent education, training, or experience in a relevant field.
- You must relocate to San Francisco before starting and work from an office at least 25 percent of the time.
- Preferred: Experience with offensive security, vulnerability research, exploit development, security tools, or applying LLMs to security problems.

## Hiring context

- Open roles on this team: 66
- Newly observed on this team in 30 days: 6
- Company median days open: 44

## Interpretation

- RunReq records observed job postings; it does not show applicant volume or completed hires.
- The linked employer posting is authoritative for the full description and application process.
- Human-readable job page: http://runreq.com/jobs/cc6a48a9-deee-8aa4-b1f2-1e40bfe37932
- Site-wide agent directory: http://runreq.com/llms.txt