Staff Machine Learning Engineer - Mapping
Core
Architect and deliver end-to-end ML and computer vision pipelines to reconstruct, validate, and maintain map primitives (lanes, boundaries, traffic controls) from large-scale sensor data for national-scale autonomous driving systems.
Role type
Staff Machine Learning Engineer (Mapping & Computer Vision)
Builds
Automated map reconstruction pipelines and next-generation HD maps for autonomous vehicles
Domain
Autonomous Driving / Computer Vision / Mapping
Deliverable
production ML models
Required skills
Computer vision, machine learning, Python, large-scale data pipelines, cross-functional technical leadership, system architecture, end-to-end ML systems design
Preferred skills
3D perception, BEV representations, multi-view geometry, AV sensor data (camera, lidar, radar), simulation-based validation, synthetic data, map change detection
Technologies
Python, C++, Camera, Lidar, Radar
Responsibilities
Architect ML-driven map reconstruction systems using multi-modal sensor data; Design and implement end-to-end pipelines for offline map reconstruction; Define technical strategy and system architecture for mapping capabilities; Lead development of state-of-the-art computer vision and ML techniques; Own cross-functional technical initiatives with Perception, Localization, and Simulation teams; Drive technical excellence through mentorship and design reviews; Diagnose and resolve system-level issues across data pipelines and production workflows; Serve as SME for ML-based mapping within the AV organization
Seniority
Staff, hands-on technical leader with strategic influence
