New The Skills of Tomorrow: how AI-exposed is every skill in 2026? See the data →
Anthropic

Research Engineer, Computer Use

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

First indexed 1 Jul 2026

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.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/anthropic/jobs/5285246008