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Staff Machine Learning Engineer - MappingGeneral Motors • United States
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Staff Machine Learning Engineer - Mapping

General Motors
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Job Description
Our Mapping organization is building national‑scale, next‑generation mapping systems that move beyond static HD maps toward automated, ML‑driven map reconstruction pipelines powered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale. Role
We are looking for a Staff Machine Learning Engineer to serve as a technical leader for automated map reconstruction within the Mapping Engineering team. Your responsibilities include architecting and delivering 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, and powering next‑generation maps that operate reliably across national deployments and evolving road conditions. This is a hands‑on technical leadership role that requires high autonomy, cross‑functional collaboration, and mentorship of senior engineers. 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 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. Minimum 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. 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. Preferred Qualifications
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. Compensation
Salary range: $185,100 to $335,300. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits
Medical, dental, and vision coverage Health Savings Account and Flexible Spending Accounts Retirement savings plan Sickness and accident benefits Life insurance Paid vacation & holidays Tuition assistance programs Employee assistance program Vehicle discounts and more (including company vehicle evaluation program if eligible) 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 must purchase or lease a qualifying GM vehicle every four years unless an exception applies. Equal Employment Opportunity Statement
General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
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