Research Engineer, Computer Use

Anthropic is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems. The team works as a single cohesive group on large-scale research efforts.

The Computer Use team teaches Claude to see, use, and understand computer interfaces. As a Research Engineer, you will advance the model's ability to reliably and safely operate real software, translating research into product improvements.

• Design and run experiments to improve Claude's perception and agentic capabilities.
• Develop robust evaluation frameworks for measuring model performance on 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 model training and infrastructure teams, and partner with product teams to bring research into production.

• Software engineering experience and proficiency in Python.
• Experience training, fine-tuning, or evaluating machine learning models.
• Strong communication skills and collaborative working style.
• Care about societal impacts and safety of your work.

• 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 RL environments, simulation systems, or large-scale ML infrastructure.
• Experience working closely with product teams to drive model improvements.

Annual salary range: $500,000—$850,000 USD.

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space.

Apply via the Greenhouse job board link.