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About the Role
We are seeking a Staff Machine Learning Engineer to provide technical leadership for automated map reconstruction. You will architect and deliver end-to-end ML and computer vision pipelines for map primitive reconstruction, validation, and maintenance, directly powering next-generation maps.
Responsibilities
- Architect and lead ML-driven map reconstruction systems at national scale using multi-modal sensor data.
- 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 for mapping problems.
- Own cross-functional technical initiatives, collaborating with Perception, Localization, Simulation, and Platform teams.
- Drive technical excellence through design reviews, mentorship, and technical guidance for senior and staff-level engineers.
- 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.
- Contribute to technical roadmaps, hiring, and capability building for ML and CV expertise.
Requirements
- 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.
- 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.
Skills
- Machine Learning
- Computer Vision
- Python
- C++
- Robotics
- Data Pipelines
- 3D Perception
- BEV Representations
- Multi-view Geometry
- AV Sensor Data
- Simulation-based Validation
- Synthetic Data
- Map Change Detection
Location
- Remote
Work Type
- Remote
- Hybrid
Experience Level
- Staff
- Senior
Education Level
- BS
- MS
- PhD
Salary/Compensations
- $185,100 to $335,300
Benefits
- 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
- Company vehicle evaluation program
- Relocation benefits
About the Company
- 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.
- 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.
Equal Opportunity
- 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.
- We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities.
- Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment.
- 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.