Staff Machine Learning Engineer Mapping

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

The Role

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 Youll 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.

Minimum Qualifications (Must-Have)

• 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 (Nice-to-Have)

• 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: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York Colorado California or Washington.

• The salary range for this role: is$185100 to $335300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance job level and individual performance.

• Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical dental 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.

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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