Senior, ML Engineer - 3D Reconstruction
Torc Robotics, Remote - US, Ann Arbor, MI +1
What you will 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 model architecture and training strategy decisions for the team.
- 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 diagnosis and mitigation of calibration and sensor errors (extrinsic/intrinsic miscalibration, drift, noise) that degrade reconstruction and mapping quality.
- Set technical direction and best practices for the team's lane line, mapping, and pose estimation pipelines, and lead architecture decisions with cross-team impact.