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ABOUT THE ROLE This is a founding engineering role at an early-stage healthtech / safety-critical AI startup building evidence infrastructure for AI model validation in medical diagnostics. As a Founding Member of Technical Staff, you will help shape the core reasoning methodology that underpins how AI safety claims are investigated, structured, and validated — across the full product lifecycle. You'll work directly alongside the founding team, contributing across technical domains and helping lay the infrastructure for the future of safety-critical AI. WHAT YOU'LL DO - Design and execute investigations into how AI models perform and fail across real-world scenarios. - Analyze input data, model outputs, and internal representations to evaluate data quality, generalization limits, distribution shift, subgroup performance, and demographic bias. - Surface failure modes and produce structured evidence that supports, challenges, or refines claims about model performance and safety. - Develo
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게시일 2026. 8. 1.