Policy & Quality Specialist- ML Perception Data
Core
Translate complex machine learning data requirements into consistent, high-quality, and scalable labeling policies to accelerate autonomous driving perception engineering velocity.
Role type
L4 Policy & Quality Specialist (ML Perception Data)
Builds
Golden datasets, labeling policies, and operational workflows for Waymo's autonomous ride-hail service
Domain
Autonomous driving / Machine Learning Data Operations
Deliverable
production ML models
Required skills
ML data lifecycle understanding, data analysis, operational project management, taxonomy design, human-in-the-loop workflows, data quality control metrics, baseline model evaluation, technical data analysis, automation scripting
Preferred skills
Python/SQL scripting, prompt engineering, cross-functional stakeholder management, multi-geographic operations management
Technologies
Python, SQL
Responsibilities
Translate ambiguous ML requirements into precise labeling instructions and publish actionable policies; Execute rapid policy iterations and hand-craft golden datasets to establish quality baselines; Provide technical guidance and operational direction to vendor labeling teams; Address long-tail edge cases and coordinate regional country-specific driving rules; Monitor labeling pipelines and build automated data analysis tools to identify quality trends; Act as primary technical interface between requesters and operations to resolve escalations
Seniority
Mid-level, hands-on IC