Job Description
📋 Description Drive the ML Data lifecycle end-to-end: mining, curation, labeling policy definition, validation Coordinate cross-functional partners to align on objectives and key results. Define dataset requirements and tooling, scale data pipelines, and ensure ML teams have required Communicate findings with technical and non-technical audiences via write-ups, dashboards, and Influence data selection strategies to maximize ROI from labeling efforts. 🎯 Requirements 8+ years of data analysis experience with identifying trends and deriving insights. Deep understanding of ML data lifecycle: labeling, taxonomy design, quality control, and data Experience with ML data flywheel and ML development lifecycle (model deployment, evaluation, data Background in leading complex programs spanning organizations and functions, esp. ML data Strong ability to thrive in dynamic, ambiguous environments and rapidly learn new concepts and Excellent written and verbal communication; ability to explain technical concepts to non-technical 🎁 Benefits Bonus program, equity incentives, and generous company benefits program, subject to eligibility. Opportunities for career growth and working with a high-impact ML data team.
