Technical Specialist, ML Data

📋 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.