General Motors is seeking a Staff Machine Learning Engineer to serve as a technical leader for automated map reconstruction within the Mapping Engineering team. You will architect and deliver end-to-end ML and computer vision pipelines that reconstruct, validate, and maintain map primitives from large-scale sensor data to power next-generation maps.
What You'll Do
- Architect and lead ML-driven map reconstruction systems that operate 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 strategies, model training, evaluation, and production deployment.
- Define technical strategy and system architecture for next-generation mapping capabilities, balancing ML innovation with robustness, safety, and operational scalability.
- Lead the development and adoption of state-of-the-art computer vision and ML techniques (e.g., detection, segmentation, 3D reconstruction, BEV representations) applied to mapping problems.
- Own cross-functional technical initiatives, working closely with Perception, Localization, Simulation, and Platform teams to define interfaces, data contracts, and integration points.
- Drive technical excellence through design reviews, mentorship, and technical guidance for senior and staff-level engineers across teams.
- Diagnose and resolve system-level issues across data pipelines, ML models, and production workflows.
- Serve as a Subject Matter Expert (SME) for ML-based mapping and reconstruction within Mapping and across the AV organization.
- Contribute to technical roadmaps, hiring, and capability building for ML and CV expertise within the Mapping org.
What We're Looking For
- 5+ years of experience building and deploying machine learning or computer vision systems in production environments.
- Strong foundation in computer vision, machine learning, or robotics, with hands-on experience designing and training ML models.
- Proficiency in Python for ML development; familiarity with C++ or other systems languages is a plus.
- Experience building large-scale data pipelines for ML, including dataset curation, labeling workflows, training, and evaluation.
- Proven ability to lead complex, cross-functional technical initiatives with high autonomy and influence.
- BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent industry experience.
- Strong systems thinking — ability to reason about end-to-end ML systems, not just individual models.
Nice to Have
- Experience with mapping, localization, perception, or robotics systems, particularly in autonomous driving or mobile robotics.
- Hands-on experience with 3D perception, BEV representations, or multi-view geometry.
- Familiarity with AV sensor data (camera, lidar, radar) and real-world data challenges (noise, drift, long-tail scenarios).
- Experience deploying ML models into production pipelines with monitoring, validation, and iteration loops.
- Exposure to simulation-based validation, synthetic data, or map change detection workflows.
- Experience mentoring senior engineers or acting as a technical lead across multiple teams.
Technical Stack
- Python
- C++
Team & Environment
You will join the Mapping Engineering team and lead cross-functional efforts spanning Mapping, Perception, Localization, Simulation, and Infrastructure.
Benefits & Compensation
- Compensation: $185,100 to $335,300
- Medical, dental, vision, Health Savings Account, Flexible Spending Accounts
- Retirement savings plan
- Sickness and accident benefits
- Life insurance
- Paid vacation & holidays
- Tuition assistance programs
- Employee assistance program
- GM vehicle discounts
- Company vehicle evaluation program
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.
