Anthropic is building AI systems and seeks a Research Engineer for the Computer Use team to advance Claude’s ability to safely operate real software. The role involves designing experiments, building evaluation frameworks, creating RL environments, and collaborating with product and training teams to integrate research advances into production.
Research Engineer, Computer Use at Anthropic
Hybrid - San Francisco, CA; New York City, NY; Seattle, WA
More jobs at AnthropicSalary
USD 500,000 - 850,000
Requirements
Skills
- 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
- 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
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
Technologies
Pythonmachine learningreinforcement learningvision reinforcement learningmultimodal model trainingsimulation systemslarge-scale ML infrastructure
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