Staff Machine Learning Engineer - Mapping
AI summary of the role
This Staff Machine Learning Engineer role leads the design and deployment of ML-driven map reconstruction pipelines at national scale for General Motors' autonomous vehicle mapping organization.
What you’ll do
- Architect and lead ML-driven map reconstruction systems at national scale using multi-modal sensor data (camera, lidar, radar, vehicle signals).
- Design and implement end-to-end pipelines for offline map reconstruction including data mining, labeling, model training, evaluation, and production deployment.
- Define technical strategy and system architecture for next-generation mapping capabilities balancing ML innovation with robustness and scalability.
- Lead adoption of state-of-the-art computer vision and ML techniques (detection, segmentation, 3D reconstruction, BEV representations) for mapping.
What you’ll bring
- 5+ years building and deploying machine learning or computer vision systems in production.
- Strong foundation in computer vision, machine learning, or robotics with hands-on model design and training.
- Proficiency in Python for ML development.
- Experience building large-scale data pipelines for ML including dataset curation, labeling, training, and evaluation.
Technologies
machine learning · computer vision · Python · C++ · lidar · radar · 3D reconstruction · BEV representations · multi-view geometry · sensor data
About General Motors
Global automaker selling Chevrolet, GMC, Cadillac, and Buick vehicles, plus financing and connected services, while shifting into EVs and driver assistance.
Public · 5000+ people
Source and classification
Deployment team leadership · Evidence for this classification:
Job Description Our Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, ML-driven map reconstruction pipelines powered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale. The Role We are looking for a Staff Machine Learning Engineer to serve as a technical leader for automated map reconstruction within our Mapping Engineering team. In this role, you will architect and deliver end-to-end ML and computer vision pipelines that reconstruct, validate, and maintain map primitives (e.g., lanes, boundaries, traffic controls, signs) from large-scale sensor data. Your work will directly power next-generation maps that operate reliably across national deployments and evolving road conditions. This is a hands-on technical leadership role.How jobs are selected
Employer postings · Data from · Sources