Own the end-to-end pipeline for safety-critical ML perception models, from research to real-time deployment
Job Summary
Own the end-to-end pipeline for safety-critical ML perception models, from research to real-time deployment.
Build and scale ML training infrastructure, including data mining and multi-stage training and evaluation.
GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, and retirement savings plans.
Matching Summary
Own the end-to-end pipeline for safety-critical ML perception models, from research to real-time deployment.
Salary
Base: $170,600.00 - $261,300.00; Bonus/Equity: Incentive pay program based on performance; Benefits: Health and wellbeing programs, retirement savings, tuition assistance, vehicle discounts
Skills & Requirements
Must-have
Deep learning frameworks (PyTorch/TensorFlow)
Multi-modal sensor fusion (Camera, LiDAR, Radar)
Real-time embedded systems deployment
3D Object Detection and Tracking
End-to-end ML model lifecycle ownership
Nice-to-have
Transformer-based models for 3D detection
Technical leadership and mentoring
Academic publication contributions
Key Requirements
5+ years professional experience
BS, MS or PhD in CS, ML, Robotics
Experience with Computer Vision and Deep Learning
Experience deploying ML models on embedded systems