Research Engineer, Computer Use

Anthropic; Seattle (WA); Hybrid; USD 500,000 - 850,000; Full time

Job summary

Anthropic is seeking a Research Engineer for the Computer Use team in Seattle, WA. The role involves designing experiments to improve Claude's abilities to understand computer interfaces and executing projects that translate to practical improvements in products.

The ideal candidate will possess strong Python skills, experience in machine learning, and a commitment to the ethical implications of AI systems. Collaboration with product teams to integrate innovations is essential.

The salary range is between $500,000 and $850,000 USD.

Qualifications

• Experience training, fine-tuning, or evaluating machine learning models.
• Care about the societal impacts and safety of your work.

Responsibilities

• Design and run experiments to improve model capabilities.
• Develop evaluation frameworks for measuring complex tasks.
• Collaborate across teams to improve training setup.
• Partner with product teams to integrate research advances.

Skills

Software engineering experience

Proficiency in Python

Experience training machine learning models

Strong communication skills

Collaborative working style

Education

Bachelor’s degree or equivalent

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

Salary

The annual compensation range for this role is $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. Some roles may require more time in our offices.
• Visa sponsorship: We sponsor visas and will make reasonable efforts to obtain a visa for successful candidates.

EEO Statement

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every qualification listed. We believe AI systems like the ones we’re building have enormous social and ethical implications. We value diverse perspectives and strive to include a range of backgrounds on our team.