Research Engineer, Computer Use

Anthropic; United States; Hybrid; USD 500,000 - 850,000; Full time

Benefits offered by this job

Competitive compensation

Optional equity donation matching

Generous vacation and parental leave

Flexible working hours

Office space

Job summary

Anthropic in the United States is seeking a Research Engineer for the Computer Use team to advance Claude's ability to see, use, and understand real software. You will design experiments and build evaluation frameworks to improve model performance on complex computer tasks.

You will collaborate across model training and product teams to deploy research into production, leveraging Python, ML training, and safety-focused approaches in a hybrid work environment.

Qualifications

• Bachelor's degree or higher in a relevant field.
• Experience in software engineering and Python.
• Experience training, fine-tuning, or evaluating ML models.
• Strong communication skills and collaboration.

Responsibilities

• Design and run experiments to improve Claude's perception and agentic capabilities.
• Develop robust evaluation frameworks for measuring model performance on complex tasks.
• Build and improve computer use and vision RL training environments.
• Create pipelines and tools to test and validate RL environments.
• Collaborate with teams across model training and infrastructure to improve production setup.
• Partner with product teams to bring research advances into production.

Skills

Python

ML model training

Evaluation frameworks

Communication

Collaborative work

Education

Bachelor's degree

Tools

PyTorch

RL environments

ML infrastructure

Job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

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 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.

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 compensation range: $500,000 - $850,000 USD

Logistics

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

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location‑based hybrid policy: We expect all staff to be in one of our offices at least 25% of the time

Visa sponsorship: We sponsor visas, and we will make every reasonable effort to obtain a visa if an offer is made

Benefits

We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Equal Employment Opportunity

As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.