Staff Machine Learning Engineer, Data Curation & Dataset Strategy
Core
Design and execute data curation strategy for autonomous driving datasets, managing ingestion, annotation, retrieval, and quality at petabyte/exabyte scale to optimize model training and storage costs.
Role type
Staff Machine Learning Engineer (Data Curation & Strategy)
Builds
Data provisioning and provenance features for the Corpus system; ML-driven filtering pipelines for driving data.
Domain
Autonomous vehicles / Robotics / Large-scale data engineering
Deliverable
production ML models
Required skills
Python, Spark, large-scale cloud data engineering, quantitative intuition, cross-functional leadership, data selection/retention strategy
Preferred skills
Experience with sensor data, computer vision, edge/vehicle-side filtering, leading small cross-functional groups
Technologies
Python, Spark, Cloud platforms
Responsibilities
Build ingestion-time models to score and route data; define data distributions for training teams; deliver storage-cost savings via heuristics and ML; partner with ingestion, annotation, retrieval, and model training teams; lead software and ML engineers to build data features.
Seniority
Staff, hands-on IC with strategic scope
