Research Engineer, Computer Use

Anthropic; San Francisco (CA); On-site; USD 500,000 - 850,000; Full time

Job summary

Anthropic is seeking a Research Engineer in San Francisco to enhance Claude’s ability in computer use and improve the systems’ proficiency in executing complex tasks. You will drive the development of evaluation frameworks and collaborate with various teams to bridge the gap between research and production.

The ideal candidate has software engineering experience, proficiency in Python, and a passion for machine learning. The compensation ranges from $500,000 to $850,000 annually.

Qualifications

• Proficient in Python programming.
• Experience in training and evaluating machine learning models.
• Excellent communication and collaboration skills.

Responsibilities

• Design and run experiments to improve Claude’s capabilities.
• Develop evaluation frameworks for complex tasks.
• Collaborate across teams to enhance training setup.

Skills

Software engineering experience

Proficiency in Python

Experience training machine learning models

Strong communication skills

Tools

Reinforcement learning frameworks

Job description

About the role

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 product sides of computer use.

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

Compensation

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