Staff Machine Learning Engineer - Mapping

About the role

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.

Responsibilities

• 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.

Qualifications

• 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.
• Promised 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.

Bonus

An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits

• Health and wellbeing benefit programs.
• 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

Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

Accommodations

To request an accommodation during the application process, please email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.