Research Engineer, Computer Use

About the role

This role involves developing AI models that can interact with and understand computer interfaces. You will contribute to improving Claude's ability to operate software reliably and safely. Your work will directly enhance both internal products and customer-facing applications.

Key facts

What you'll do

• Design and execute experiments to advance Claude's perception and agent capabilities
• Create robust evaluation systems to measure model performance on complex computer tasks
• Build and refine reinforcement learning training environments for computer use and vision
• Develop tools and pipelines for testing and validating complex RL environments
• Collaborate with various teams across the model training and infrastructure stack to enhance production setups
• Work with product teams to integrate research breakthroughs into production

Requirements

• Software engineering experience with Python proficiency
• Background in training, fine-tuning, or evaluating machine learning models
• Strong communication and collaborative work style
• Awareness of the societal impact and safety aspects of your work
• Bachelor's degree or equivalent education, training, or experience in a relevant field

Nice to have

• Experience training models for computer use or other agentic functions
• Background in reinforcement learning, especially with long-horizon or sparse-reward scenarios
• Familiarity with multimodal model training
• Experience creating evaluations or benchmarks for agentic systems
• Experience building reinforcement learning environments, simulation systems, or large-scale ML infrastructure
• Experience collaborating with product teams to drive model improvements

Skills & tools

• Python
• Machine Learning
• Reinforcement Learning

Practical notes

• Visa sponsorship is available, and Anthropic will make reasonable efforts to secure a visa if an offer is extended.
• A hybrid work policy requires staff to be in one of the offices at least 25% of the time, with some roles potentially requiring more.
• Anthropic offers competitive compensation, benefits, optional equity donation matching, generous vacation and parental leave, and flexible working hours.
• Applicants are encouraged to apply even if they do not meet every listed qualification.