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# Research Engineer (Computer Use)

- **Company:** Anthropic Limited
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Computer Literacy, Python (Programming Language), Software Engineering, Reinforcement Learning, Machine Learning Operations
- **Published:** July 14, 2026
- **Apply:** https://job-boards.greenhouse.io/anthropic/jobs/5285246008

## About the Role

Skills & expertise
Observation skills
Communication skills
Collaboration and teamwork, * Strong communication skills and a collaborative working style

 * Experience training, fine-tuning, or evaluating machine learning models
 * Care about the societal impacts and safety of your work
 * Software engineering experience and proficiency in Python
 * Experience training models for computer use or other agentic capabilities
 * Experience building reinforcement learning environments, simulation systems, or large-scale ML infrastructure
 * Familiarity with multimodal model training
 * Experience building evaluations or benchmarks for agentic systems
 * Experience with reinforcement learning, particularly in long-horizon or sparse-reward settings
 * Experience working closely with product teams to drive model improvements
 * Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
 * Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience
 * Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
 * We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed

## Description

* The Computer Use team focuses on teaching Claude to see, use, and understand computer interfaces. As a Research Engineer on the team, you'll work on advancing our models' ability to reliably and safely operate real software. We're looking for someone who's genuinely excited about both the research and the product sides of computer use
 * Your work will translate directly into model improvements in our own and our customers' products. You can try Claude's computer use capabilities today through the Claude in Chrome extension and Claude Cowork
 * 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


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