About The Company
General Motors (GM) is a global leader in automotive innovation and mobility solutions, committed to shaping the future of transportation. With a rich history of engineering excellence, GM is dedicated to creating safer, more sustainable, and technologically advanced vehicles. The company’s vision revolves around achieving Zero Crashes, Zero Emissions, and Zero Congestion, emphasizing environmental responsibility, safety, and efficiency. GM fosters a culture of innovation, inclusion, and continuous improvement, leveraging cutting-edge technology and diverse talent to transform mobility and improve lives worldwide.
About The Role
We are seeking a highly skilled and experienced Staff Machine Learning Engineer to join our Mapping organization, focusing on developing next-generation, large-scale mapping systems. This role involves leading the design and implementation of advanced machine learning and computer vision pipelines that reconstruct, validate, and maintain detailed map primitives such as lanes, boundaries, traffic controls, and signs from vast sensor datasets. The position offers an opportunity to influence the future of autonomous driving and mobility technology by architecting scalable, robust, and innovative mapping solutions.
As a technical leader, you will operate with significant autonomy, defining strategic approaches in ambiguous problem spaces and collaborating across multiple teams including Perception, Localization, Simulation, and Infrastructure. You will mentor senior engineers, contribute to technical roadmaps, and drive best practices in ML and computer vision to ensure the delivery of reliable, scalable, and safe mapping systems for national deployment. Your expertise will directly impact the development of autonomous vehicle technology, enabling safer and more efficient transportation solutions.
Qualifications
- 5+ years of experience in 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 in designing and training ML models
- Proficiency in Python; familiarity with C++ or other systems languages is a plus
- Experience developing 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
- Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent industry experience
- Strong systems thinking ability, capable of reasoning about end-to-end ML systems beyond individual models
Responsibilities
- Architect and lead ML-driven map reconstruction systems that operate at a 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, model training, evaluation, and deployment
- Define technical strategy and system architecture for advanced mapping capabilities, balancing ML innovation with safety, robustness, and operational scalability
- Lead the development and integration of state-of-the-art computer vision and ML techniques such as detection, segmentation, 3D reconstruction, and Bird’s Eye View (BEV) representations
- Collaborate with cross-functional teams to define interfaces, data contracts, and integration points ensuring seamless data flow and system interoperability
- Mentor and review work of senior and staff engineers, promoting technical excellence and best practices
- Diagnose and resolve system-level issues across data pipelines, ML models, and production workflows
- Serve as a Subject Matter Expert (SME) on ML-based mapping and reconstruction within the organization
- Contribute to technical roadmaps, capability building, and hiring efforts to strengthen ML and CV expertise within the team
Benefits
- Comprehensive health and wellbeing benefits including medical, dental, and vision coverage
- Retirement savings plans and financial wellness programs
- Paid vacation, holidays, and sick leave
- Tuition assistance and professional development opportunities
- Employee assistance programs to support mental health and work-life balance
- GM vehicle discounts and participation in company vehicle evaluation programs
- Flexible work arrangements, including remote work options
Equal Opportunity
General Motors is committed to fostering an inclusive and diverse workplace. We provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, national origin, citizenship, age, disability, sexual orientation, gender identity, veteran status, or any other protected status in accordance with federal, state, and local laws. We believe that a diverse workforce enhances innovation and drives better business outcomes. We encourage all qualified candidates to apply and join our mission to make mobility safer, cleaner, and more accessible for everyone.