GE Senior Machine Learning Engineer – Perception & Embodied AI Generalmotors · Remote · US · Machine Learning Engineering $170,600–$261,300 6mo ago

Aimlroles; Mountain View, Northern (CA, KY); Hybrid; USD 171,000 - 261,000; Full time

Job summary

General Motors is seeking a Senior Machine Learning Engineer for Perception in the EmbodiedAI group. You will own the end-to-end ML perception pipeline, from data curation and research to optimization and real-time deployment on vehicle compute platforms.

The role focuses on accurate scene understanding across complex environments, with emphasis on safety-critical performance. You will work on 3D object detection, real-time map understanding, and multi-modal sensor fusion while collaborating

Qualifications

• BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related quantitative field.
• 5+ years of professional experience with a focus on Computer Vision, Deep Learning, and Perception in a production environment.
• Hands-on experience with modern deep learning frameworks for training, experimentation, and debugging.

Responsibilities

• End-to-End Model Lifecycle: design, training, validation, and deployment of deep learning models for perception tasks.
• 3D Object Detection and Tracking (vehicles, pedestrians, cyclists).
• Real-time map detection of the drivable world (lanes, road boundaries, traffic signs).
• Multi-Modal Sensor Fusion (Camera, LiDAR, Radar).
• Production Pipeline: ML training infrastructure, data loading, multi-stage training and evaluation.
• Performance Optimization: improve model performance through data iterations and architecture updates.
• Model Debugging: analyze and resolve performance degradations, including long-tail scenarios.
• System Integration: collaborate with Safety, Systems, and other teams to integrate outputs.

Skills

Computer Vision

Deep Learning

Perception

PyTorch

TensorFlow

Sensor Fusion

Embedded Systems

Model Deployment

Education

BS/MS/PhD in CS/ML/Robotics

Tools

PyTorch

TensorFlow

Job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of peopleas we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role

As a Senior Machine Learning Engineerfor Perception within the EmbodiedAI organization,you will own theend-to-end pipeline for safety-critical MLperceptionmodels, from initial research and large-scale data curation to optimization and real-time deployment on the vehicle's compute platform. Your primary mission is to enable the vehicle toaccurately and reliably see, classify, and track everything in its environment—from rare road markings and complex intersections to vulnerable road users (VRUs).

Responsibilities

• End-to-End Model Lifecycle: Own the design, training, validation, and deployment of deep learning models for core perception tasks such as:
• 3D Object Detection and Tracking (vehicles, pedestrians, cyclists).
• Real-time map detection of the drivable world (lanes, road boundaries, traffic signs).
• Multi-Modal Sensor Fusion (Camera, LiDAR, Radar).
• Production Pipeline: Build and scale the ML training infrastructure, including data mining and loading, multi-stage training and evaluation, to streamline model development.
• Performance Optimization: Improve model performance through data iterations, parameter tunings, training strategy and architecture updates to produce reliable models that meet and the strict real-time, low-latency requirements on the vehicle's embedded hardware.
• Model Debugging: Conduct rigorous, data-driven analysis to identify, debug, and resolve performance degradations and failures, specifically targeting long-tail and adversarial scenarios (e.g., adverse weather, sensor noise, occlusions).
• Metric Definition: Define and implement robust model-level metrics to aid model development.
• System Integration: Work closely with the Safety, Systems, and other engineering functions to integrate Perception outputs.

Skills & Experience

• BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related quantitative field.
• 5+ years of professional experience with a focus on Computer Vision, Deep Learning, and Perception in a production environment.
• Deep hands-on experience with modern deep learning frameworks (e.g., PyTorch or TensorFlow) for training, experimentation, and debugging complex DNNs.
• Proven experience working with and fusing data from multiple sensor modalities (Camera, LiDAR, and/or Radar).
• Practical experience deploying and optimizing ML models for resource-constrained, real-time embedded systems.
• Demonstrated ability to drive model improvements through large-scale data analysis, error logging, and data curation.

Bonus:

• Expertise with Transformer-based models for 3D detection, tracking, and scene understanding.
• Technical leadership experience, including mentoring junior engineers and leading major feature development from concept to launch.
• Contributions to relevant academic publications (CVPR, ECCV, ICCV, IROS, NeurIPS etc.).

Remote:This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren,Milfordor Mountain View, you are expected to report to that location three timesperweek, at minimum.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not berepresentative for positionslocatedoutside of the California Bay Area.

• The salary range for this role is $170,600.00 to $261,300.00. 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 incentivepayprogram offers payouts based on company performance, job level, and individual performance.

Benefits:

• 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, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

This job may be eligible forrelocationbenefits.

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