- Strong software engineering skills and experience building data or evaluation pipelines at scale
- Experience turning research or model outputs into metrics, benchmarks, and visualizations that teams rely on
- Solid grasp of probability and statistics, with the judgment to design evaluations that measure what they claim to
- Full-stack range: comfortable building both backend pipelines and the frontend tools people read results in
- Owns deliverables end-to-end, from collecting requirements to autonomously driving execution
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