Staff ML Engineer: Lead End-to-End Map Reconstruction

General Motors; Washington; On-site; USD 185,000 - 335,000; Full time

Benefits offered by this job

Health and wellbeing benefits

GM vehicle discounts

Relocation support

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 systems that process multi-modal sensor data to build and validate map primitives at national scale, guiding teams across Mapping, Perception, Localization, Simulation, and Platform.

You will drive technical strategy, mentor senior engineers, and own cross-functional initiatives while balancing innovation with safety and production readiness.

Qualifications

• 5+ years building and deploying ML or computer vision systems in production.
• Proficiency in Python; familiarity with C++ or other systems languages is a plus.
• Experience building large-scale ML data pipelines, 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 related 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

ML/Computer Vision

Python

C++

Data pipelines

Technical leadership

Cross-functional collaboration

Systems thinking

Education

BS/MS/PhD in CS/EE/Robotics

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 systems that process multi-modal sensor data to build and validate map primitives at national scale, guiding teams across Mapping, Perception, Localization, Simulation, and Platform.

You will drive technical strategy, mentor senior engineers, and own cross-functional initiatives while balancing innovation with safety and production readiness.