Staff Machine Learning Engineer - Mapping

General Motors; Denver (CO); On-site; USD 185,000 - 335,000; Full time

Benefits offered by this job

Company vehicle program

Total rewards and benefits

Job summary

General Motors seeks a Staff Machine Learning Engineer to lead automated map reconstruction across nationwide deployments. You will architect end-to-end ML and CV pipelines using multi-modal sensor data, defining strategy and interfaces across Mapping, Perception, Localization, and Platform teams.

You will mentor senior engineers, drive technical excellence, and own complex cross-functional initiatives, balancing innovation with robustness and scalability in production systems.

Qualifications

• 5+ years building and deploying ML/CV systems in production.
• Strong CV/ML foundation with hands-on model design and training.
• Proficient in Python; C++ or systems languages is a plus.
• Experience building large-scale ML data pipelines (curation, labeling, training, evaluation).
• Ability to lead complex, cross-functional initiatives with high autonomy.

Responsibilities

• Architect and lead ML-driven map reconstruction systems at national scale.
• Design end-to-end pipelines for offline map reconstruction including data mining, labeling, training, evaluation, and deployment.
• Define architecture for scalable ML capabilities balancing innovation with safety and reliability.
• Lead state-of-the-art CV/ML techniques for mapping, 3D reconstruction, BEV representations.
• Mentor engineers and drive cross-team technical initiatives.

Skills

ML engineering

Computer vision

Python

C++

Data pipelines

Cross-functional leadership

Systems thinking

Education

BS/MS/PhD in CS/EE/Robotics

Tools

Python

C++

Job description

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.

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 You’ll 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 and Benefits

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 $185,100 to $335,300. 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.

#GM-AV-1 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}. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being‑at work and at home‑so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non‑Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. 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.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Explore our global locations

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Learn more about: Our Company Our Culture How we hire.