PhD in Computer Science, Mathematics, Statistics, or related technical field (or equivalent practical experience).Industry Experience: 10+ years building, testing, and shipping ML/AI systems end-to-end; including 2+ years of experience with GenAI/LLM systems in production.Leadership Experience: 5+ years leading large, ambiguous technical initiatives as a senior IC, influencing roadmap and engineering/science direction across teams.Technical Proficiency:Deep expertise in evaluation methodology (offline/online alignment, metric design, human-in-the-loop evaluation, A/B testing, power analysis, regression testing).Hands-on experience with GenAI systems, including orchestration, retrieval, tool calling, memory, etc.Experience building data pipelines and quality systems (labeling workflows, dataset curation, versioning, monitoring, and governance).Solid ML fundamentals and best practices (model selection, training/serving, monitoring, reliability, and model lifecycle management).
