Machine Learning Engineer

Wiraa; United States; On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Tuition assistance

Life insurance

Employee assistance program

GM vehicle discounts

Career growth opportunities

Job summary

General Motors is seeking a Staff Machine Learning Engineer to lead end-to-end ML and computer vision pipelines for national-scale map reconstruction, using multi-modal sensor data.

You will mentor senior engineers, define technical strategy, and collaborate with Perception, Localization, Simulation, and Platform teams to ensure safety, scalability, and robust map products. This role offers high autonomy and leadership opportunities within GM.

Qualifications

• 5+ years of experience building and deploying ML or computer vision systems in production environments.
• Strong foundation in computer vision, ML, or robotics, with hands-on model design/training.
• Proficiency in Python for ML; C++ or other systems languages a plus.
• Experience building large-scale ML data pipelines, including dataset curation, labeling, training, and evaluation.
• Proven ability to lead complex, cross-functional technical initiatives with high autonomy and influence.

Responsibilities

• Architect and lead ML-driven map reconstruction systems at national scale using multi-modal data (camera, lidar, radar, signals).
• Design and implement end-to-end pipelines for offline map reconstruction (data mining, labeling, training, evaluation, deployment).
• Define technical strategy and system architecture to advance robust, safe, scalable mapping capabilities.
• Lead development and integration of CV/ML techniques such as detection, segmentation, 3D reconstruction, BEV for mapping.
• Collaborate with Perception, Localization, Simulation, and Platform teams to establish interfaces and data contracts.
• Mentor senior and staff engineers to foster technical excellence and innovation.
• Diagnose and resolve system-level issues in data pipelines, ML models, and production workflows.
• Serve as SME for ML-based mapping and reconstruction; contribute to roadmaps and capability-building initiatives.

Skills

ML & CV

Python

Leadership

Data pipelines

C++

Education

CS/EE/Robotics PhD

Tools

C++

Job description

About The Company

General Motors (GM) is a global leader in automotive innovation, dedicated to creating a future with Zero Crashes, Zero Emissions, and Zero Congestion. Committed to technological advancement and sustainable mobility, GM leverages cutting‑edge research and development to transform the automotive landscape. With a diverse and talented workforce, GM continuously pushes the boundaries of engineering, design, and digital solutions to deliver safer, cleaner, and more efficient vehicles. The company's vision extends beyond traditional manufacturing to include autonomous driving, electric vehicles, and smart mobility solutions, positioning GM at the forefront of the automotive revolution. Emphasizing inclusion, integrity, and innovation, GM strives to foster a workplace where all employees can contribute their best and drive meaningful change worldwide.

About The Company

General Motors (GM) is a global leader in automotive innovation, dedicated to creating a future with Zero Crashes, Zero Emissions, and Zero Congestion. Committed to technological advancement and sustainable mobility, GM leverages cutting‑edge research and development to transform the automotive landscape. With a diverse and talented workforce, GM continuously pushes the boundaries of engineering, design, and digital solutions to deliver safer, cleaner, and more efficient vehicles. The company's vision extends beyond traditional manufacturing to include autonomous driving, electric vehicles, and smart mobility solutions, positioning GM at the forefront of the automotive revolution. Emphasizing inclusion, integrity, and innovation, GM strives to foster a workplace where all employees can contribute their best and drive meaningful change worldwide.

About The Role

The Mapping organization at GM is pioneering the development of advanced, large‑scale mapping systems that go beyond static HD maps to support autonomous vehicles with ML-driven map reconstruction pipelines. This critical infrastructure underpins localization, perception, simulation, and autonomous driving capabilities at a national scale. We are seeking a highly skilled and motivated Staff Machine Learning Engineer to serve as a technical leader within our Mapping Engineering team. In this role, you will be responsible for designing, architecting, and implementing end‑to‑end machine learning and computer vision pipelines that reconstruct, validate, and maintain map primitives such as lanes, boundaries, traffic controls, and signs from multi‑modal sensor data. Your work will directly influence the accuracy and reliability of next‑generation maps deployed across diverse road conditions and geographic regions.

This position offers high autonomy and leadership opportunities, requiring you to define technical strategies in ambiguous problem spaces, lead cross‑functional collaborations, and mentor senior engineers. You will work closely with teams across Perception, Localization, Simulation, and Infrastructure to ensure seamless integration and operational excellence. Your expertise will help set the technical direction for mapping capabilities, ensuring robustness, safety, and scalability of our systems.

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.
• 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 to reason about end‑to‑end ML systems, not just individual models.

Responsibilities

• Architect and lead ML-driven map reconstruction systems that operate at national scale using multi‑modal sensor data such as camera, lidar, radar, and vehicle signals.
• Design and implement end‑to‑end pipelines for offline map reconstruction, including data mining, labeling strategies, model training, evaluation, and deployment.
• Define technical strategy and system architecture to advance next‑generation mapping capabilities, emphasizing robustness, safety, 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 BEV representations applied to mapping challenges.
• Collaborate with cross‑functional teams including Perception, Localization, Simulation, and Platform teams to establish interfaces, data contracts, and integration workflows.
• Mentor senior and staff engineers, fostering technical excellence and innovation across teams.
• Diagnose and resolve system‑level issues within data pipelines, ML models, and production workflows to ensure system reliability and performance.
• Serve as a Subject Matter Expert (SME) for ML-based mapping and reconstruction within the organization.
• Contribute to the development of technical roadmaps, hiring strategies, and capability‑building initiatives for ML and CV expertise within the Mapping team.

Benefits

• Comprehensive health and wellbeing programs including medical, dental, and vision coverage.
• Retirement savings plans such as 401(k) with company matching.
• Paid time off, holidays, and flexible work arrangements.
• Tuition assistance programs and employee development initiatives.
• Life insurance, sickness, and accident benefits.
• Employee assistance programs supporting mental health and wellness.
• GM vehicle discounts and access to a company vehicle evaluation program.
• Opportunities for career growth, technical development, and leadership within a global organization.

Equal Opportunity

General Motors is committed to fostering an inclusive and diverse workplace where all employees are treated with respect and dignity. We provide equal employment opportunities regardless of sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, veteran status, or any other protected characteristic. We believe that a diverse workforce enhances innovation and drives better business outcomes. All employment decisions are made based on qualifications, merit, and business needs. We encourage all qualified candidates to apply and participate in our equitable hiring process. GM is dedicated to creating a workplace where everyone can thrive and contribute to our mission of transforming mobility for a better world.