General Motors
Senior Machine Learning Engineer – Perception & Embodied AI
$171K–$261K
Mountain View, California, United States of America · Remote/Hybrid · Senior · Full-time · Posted Mar 20, 2026
- Experience
- 5+ years of professional experience.
- Education
- BS, MS or PhD in Computer Science, Machine Learning, Robotics, or a related quantitative field.
About the job
Own the end-to-end development and deployment of safety-critical perception models that help vehicles detect, classify, and track their surroundings in real time.
What you'll do
- Design, train, validate, optimize, and deploy models for 3D object detection and tracking, drivable-world mapping, and multi-modal sensor fusion.
- Build scalable training pipelines and use data analysis, curation, and metrics to improve model performance and resolve failures.
- Integrate perception outputs with Safety, Systems, and other engineering teams.
What they ask for
- 5+ years of professional experience focused on Computer Vision, Deep Learning, and Perception in a production environment.
- Hands-on experience with PyTorch or TensorFlow for training, experimentation, and debugging complex DNNs.
- Experience working with and fusing multiple sensor modalities (Camera, LiDAR, and/or Radar).
- Practical experience deploying and optimizing ML models on resource-constrained, real-time embedded systems.
Nice to have
- Expertise with Transformer-based models for 3D detection, tracking, and scene understanding.
- Technical leadership, relevant academic publications, or both.
Pay
$170,600.00 to $261,300.00 USD base salary
Tools
PyTorch, TensorFlow, Camera, LiDAR, Radar
AI focus
Develop and deploy vehicle perception models for object detection and tracking, drivable-world mapping, and sensor fusion, including optimization for real-time embedded hardware.
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