Senior Research Engineer in Learning to Rank team developing machine learning models for search and ads. Committed to advancing understanding of machine learning through collaboration with the scientific community.
About the role
- 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
- Care about the societal impacts of your work
Benefits
- Competitive compensation and benefits
- Equity options
- Generous vacation
- Parental leave
- Flexible working hours
- Lovely office space for collaboration
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