Remote Staff ML Engineer — National-Scale Map Reconstruction

General Motors; San Francisco (CA); On-site; USD 225,000 - 300,000; Full time

Job summary

General Motors is seeking a Staff Machine Learning Engineer to lead end-to-end ML and CV pipelines for automated map reconstruction. You will architect scalable systems and collaborate across Mapping, Perception, Localization, Simulation, and Platform teams while mentoring senior engineers.

This hands-on leadership role emphasizes autonomy, robust design, and national-scale deployments, with opportunities to shape technical strategy and build ML/CV capabilities for autonomous mapping.

Qualifications

• 5+ years of experience building and deploying ML or CV systems in production.
• Strong foundation in computer vision, ML, 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.

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.

Skills

Machine Learning

Computer Vision

Python

C++

Data Pipelines

Systems Thinking

Technical Leadership

Education

BS in CS/EE/Robotics or equivalent

MS or PhD in related field

Job description

General Motors is seeking a Staff Machine Learning Engineer to lead end-to-end ML and CV pipelines for automated map reconstruction. You will architect scalable systems and collaborate across Mapping, Perception, Localization, Simulation, and Platform teams while mentoring senior engineers.

This hands-on leadership role emphasizes autonomy, robust design, and national-scale deployments, with opportunities to shape technical strategy and build ML/CV capabilities for autonomous mapping.