Senior, ML Engineer - 3D Reconstruction
Core
Design, implement, test, and deploy offline 3D reconstruction, lane line detection, and automatic mapping modules to generate high-quality annotations from logged sensor data for autonomous truck perception and mapping teams.
Role type
Senior IC machine learning engineer (3D reconstruction & mapping)
Builds
Offline 3D reconstruction, lane line detection, and automatic mapping/map creation modules
Domain
Autonomous driving, computer vision, 3D reconstruction, automated mapping
Deliverable
production ML models
Required skills
3D reconstruction, lane line detection, pose estimation, active learning, pseudo-labeling, sensor fusion, 2D/3D object detection, tracking, semantic segmentation, SLAM, BEV, MLOps, distributed ML frameworks, Python, data curation
Preferred skills
PPK/RTK GPS, GIS
Technologies
PyTorch, Lightning, Ray, MLflow, Weights and Biases, Parquet, PyArrow, Daft, Pandas, GitHub Actions, Docker
Responsibilities
Design and deploy offline perception and mapping models; build and refine lane line annotation pipelines; develop pose estimation algorithms; define and implement data ingestion, preparation, and governance; measure and track auto-labeling and map creation quality; provide technical guidance and mentorship to team members.
Seniority
Senior, hands-on IC with mentorship responsibilities
