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# Staff Machine Learning Engineer - Mapping

- **Company:** General Motors
- **Location:** Columbia, SC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $185,100.0 - $335,300.0
- **Contract:** Permanent contract
- **Skills:** 3D Scanning, Computer Vision, C++ (Programming Language), Data Mining, Python (Programming Language), Machine Learning, Software Deployment, Systems Architecture, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** October 23, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3466478852&tx=ZT2322THT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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., * 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.

## Description

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. You will operate with high autonomy, define technical strategy in ambiguous problem spaces, and lead cross-functional efforts spanning Mapping, Perception, Localization, Simulation, and Infrastructure. You will also mentor senior engineers and help raise the ML and CV bar across the organization.

What You'll Do (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., This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.