Research Engineer, Computer Use San Francisco, CA | New York City, NY | Seattle, WA

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 will advance our models’ ability to reliably and safely operate real software. We are looking for someone who is genuinely excited about both the research and 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 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: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. Benefits Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space for collaboration. 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. #J-18808-Ljbffr Anthropic