# Research Engineer, Computer Use

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $500,000-$850,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5285246008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_bee5bd13-2fa

## Description

## About the Role

The Computer Use team at Anthropic focuses on teaching Claude to see, use, and understand computer interfaces. As a Research Engineer on the team, you will work on advancing our models' ability to reliably and safely operate real software.

## Key Responsibilities:

- Design and run experiments to improve Claude's perception and agentic capabilities

- Develop robust, reliable evaluation frameworks for measuring our models' ability to complete complex computer tasks

- Build and improve computer use and vision reinforcement learning training environments

- Create pipelines and tools to test and validate complex RL environments

- Collaborate with teams across the model training and infrastructure stack to improve our production training setup

- Partner with product teams to bring research advances into production

## Minimum Qualifications:

- Software engineering experience and proficiency in Python

- Experience training, fine-tuning, or evaluating machine learning models

- Strong communication skills and a collaborative working style

- Care about the societal impacts and safety of your work

## Preferred Qualifications:

- Experience training models for computer use or other agentic capabilities

- Experience with reinforcement learning, particularly in long-horizon or sparse-reward settings

- Familiarity with multimodal model training

- Experience building evaluations or benchmarks for agentic systems

- Experience building reinforcement learning environments, simulation systems, or large-scale ML infrastructure

- Experience working closely with product teams to drive model improvements

## Logistics

- Annual Salary: $500,000-$850,000 USD

- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.

- Visa sponsorship: We do sponsor visas.

## Skills

### Required
- Python
- machine learning
- reinforcement learning
- multimodal model training

### Nice to have
- computer use
- agentic capabilities
- long-horizon or sparse-reward settings
- evaluation frameworks
- RL environments

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5285246008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)