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Anthropic

Research Engineer, Computer Use

Anthropic
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hybrid senior full-time $500,000-$850,000 USD San Francisco, CA

First indexed 1 Jul 2026

Description

Job Overview

As a Research Engineer on the Computer Use team at Anthropic, you will focus on teaching Claude to see, use, and understand computer interfaces. Your work will directly translate into model improvements in our products and those of our customers.

Key Responsibilities:

  • Design and run experiments to improve Claude's perception and agentic capabilities
  • Develop robust 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

Requirements:

  • 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 and will make every reasonable effort to get you a visa if offered the role.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/anthropic/jobs/5285246008