Senior Machine Learning Engineer - Mapping
Core
Design and build mapping algorithms and geospatial data systems for automated map reconstruction and maintenance using onboard sensor data.
Role type
Senior IC machine learning engineer (mapping)
Builds
Production map releases with lane-level connectivity, road network graphs, and map attributes
Domain
Autonomous driving / Geospatial / Computer Vision
Deliverable
production ML models | product features
Required skills
Geospatial and computational geometry, Road network graph algorithms, Distributed data pipelines, Machine learning and computer vision, Python, C++
Preferred skills
HD maps and autonomous driving systems, 3D geometry and point cloud processing, AV sensor data (camera, lidar, radar), Map conflation and QA, Geospatial tooling (PostGIS, GDAL/OGR)
Responsibilities
Design mapping algorithms for lane extraction, graph construction, and topology validation; Build geospatial data models for lane-level connectivity; Develop distributed pipelines for sensor-derived map data; Apply ML/CV models for feature extraction and change detection; Build automated quality and validation systems; Collaborate with Perception, Localization, and Simulation teams; Diagnose system-level issues in data pipelines and algorithms.
Seniority
Senior, hands-on IC
