# Staff Research Engineer, Multi-Agent Scaling at Anthropic

> Open role observed by RunReq as of 2026-10-15T00:27:17.979501+00:00.

## Role details

- Company: [Anthropic](http://runreq.com/company/anthropic/index.md)
- Location: San Francisco, CA \| New York City, NY \| Seattle, WA
- Team: AI Research & Engineering
- Compensation: $500K–$850K /YR
- First observed: 2026-10-03T01:46:39.588546+00:00
- Days open: 12
- Employer posting: [View the authoritative posting](https://job-boards.greenhouse.io/anthropic/jobs/5442680008)

## Shortened description

### Key responsibilities

- Design and interpret large experiments that measure agent team performance, efficiency, costs, and coordination.
- Build reliable systems for large agent teams, and debug failures that appear as teams grow.
- Design trustworthy evaluations and tools that show researchers what agent teams do and why.
- Partner with research teams so they can run experiments and understand the findings.

### Qualifications needed

- A Bachelor's degree or equivalent education, training, or experience in a relevant field is required.
- Significant software engineering, ML, or research engineering experience.
- Experience owning a substantial system, evaluation, benchmark, agent product, or research project.
- Preferred: Experience with distributed systems, LLM or agent evaluations, complex agent systems, or scaling research.

## Hiring context

- Open roles on this team: 66
- Newly observed on this team in 30 days: 7
- Company median days open: 55

## 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/8e76c0ed-1833-8b76-84de-fea6b71fa38c
- Site-wide agent directory: http://runreq.com/llms.txt