Staff Machine Learning Engineer - Mapping

• 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.

• 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 (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.

• 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.

What We Do

At General Motors our vision is to create a world with Zero Crashes Zero Emissions and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better safer and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward together. We’re building vehicle software alongside its hardware hands-free driving that will lead to autonomy and EVs that charge your home for an all-electric future.

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