Develop and deploy offboard machine learning solutions that deliver ground-truth–quality world estimates for autonomous vehicle development
Job Summary
Develop and deploy offboard machine learning solutions that deliver ground-truth–quality world estimates for autonomous vehicle development.
Design and implement ML solutions aligned with GM's autonomous driving objectives, applying techniques like foundation modeling and scaling through data.
Collaborate with cross-functional teams to deploy and serve models at large scale, while supporting and mentoring other engineers.
Matching Summary
Develop and deploy offboard machine learning solutions that deliver ground-truth–quality world estimates for autonomous vehicle development.
Salary
Base: $189,300.00 - $320,700.00; Bonus/Equity: Incentive pay program based on company, job level, and individual performance; Benefits: Medical, dental, vision, retirement savings plan, paid vacation & holidays, tuition assistance, and more
Skills & Requirements
Must-have
unsupervised pre-training
supervised learning
foundation modeling
object detection/tracking/classification
PyTorch and Python proficiency
large scale datasets utilization
Nice-to-have
human-centered design process
shaping technical direction
mentorship and collaboration
applied research advancements
robotics or autonomous driving experience
Key Requirements
Master's or PhD in Computer Science, Robotics, Machine Learning