Research Engineer developing scalable tools for reward models at Anthropic. Collaborating with researchers to enhance AI system training effectiveness.
Responsibilities
Design and build infrastructure for researchers to iterate on reward signals
Develop systems for automated quality assessment of rewards
Create tooling for comparing reward methodologies
Build pipelines to reduce toil in reward development
Implement monitoring systems to track reward signal quality
Collaborate with researchers to translate science requirements into platform capabilities
Optimize existing systems for performance and reliability
Requirements
Have prior research experience
Strong Python skills
Experience with ML workflows and data pipelines
Building related infrastructure/tooling/platforms
Comfortable working across the stack
Results-oriented with a bias towards flexibility and impact
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