Senior, ML Engineer - 3D Reconstruction
Torcrobotics · Ann Arbor, MI, Remote - US
About this role
**About the Company** At Torc, we believe autonomous vehicle technology will transform how we travel, move freight, and do business. Torc has been a leader in autonomous driving since 2007 and has spent over a decade commercializing its solutions with experienced partners. Now part of the Daimler family, Torc focuses on developing software for automated trucks to transform how the world moves freight. **Meet The Team** The Pseudo-Labeling team creates high-quality annotations on sensor data (images, point clouds). These annotations include 2D/3D bounding boxes, classes, trajectories, lane lines, segmentations, depths, and HD map elements. They’re used by downstream teams such as: - **Perception** (training models) - **Mapping** (building and maintaining HD maps) - **Simulation** (generating new data) This role owns some of the hardest problems in the team’s lane line and mapping stack, and is expected to set technical direction across lane line reconstruction, map creation, and pose accuracy. **What You’ll Do** - Own the design, implementation, and deployment of offline **3D reconstruction**, **lane line detection**, and **automatic mapping/map creation** systems that generate high-quality annotations on cloud services from logged sensor data (Cameras, Lidars, Radars, GPS/IMU). - Lead lane line network reconstruction efforts, rebuilding topologically correct lane line graphs from noisy, partial, or conflicting detections across drives. - Design, train, and iterate on lane line detection and creation models—pushing state-of-the-art performance and driving architecture/training strategy decisions. - Develop methods for creating lane line maps in previously unmapped areas, and for detecting and propagating map updates as road geometry changes over time. - Own pose correction for sensor data, and lead the team’s approach to improving pose accuracy.
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