# Research Engineer, Universes at Anthropic

> Open role observed by RunReq as of 2026-08-30T19:23:28.648628+00:00.

## Role details

- Company: [Anthropic](http://runreq.com/company/anthropic/index.md)
- Location: Remote-Friendly (Travel-Required) \| San Francisco, CA \| Seattle, WA \| New York City, NY
- Team: AI Research & Engineering
- Compensation: $500K–$850K /YR
- First observed: 2026-06-22T04:37:27.190817+00:00
- Days open: 70
- Employer posting: [View the authoritative posting](https://job-boards.greenhouse.io/anthropic/jobs/5061517008)

## Shortened description

### Key responsibilities

- Build training environments for agentic AI models that support complex, long horizon tasks.
- Design reinforcement learning methods and evaluations that measure genuine model capability.
- Deploy environments into production training and debug machine learning systems across research and production stacks.
- Contribute to research direction through technical discussions and collaborative problem solving.

### Qualifications needed

- Hold a Bachelor’s degree or equivalent education, training, or experience in a relevant field, and have strong software engineering skills.
- Have good research judgment or senior technical experience in complex problem spaces.
- Preferred: Industry experience with large language model training, fine tuning, or evaluation.
- Preferred: Experience building reinforcement learning environments, simulation systems, or large scale machine learning infrastructure.

## 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/9e518efc-a7d7-8179-84d0-dc22b58c0075
- Site-wide agent directory: http://runreq.com/llms.txt