Note: The job is a remote job and is open to candidates in USA. General Motors is building national-scale, next-generation mapping systems for automated, ML-driven map reconstruction. They are seeking a Staff Machine Learning Engineer to lead technical efforts in developing and maintaining mapping systems using large-scale sensor data.
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
- 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
Benefits
- Benefit options include medical
- Benefit options include dental
- Benefit options include 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 and more
- This job may be eligible for relocation benefits.
- From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
- 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}.
- 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.
- Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
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