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Responsibilities:
- Develop and improve AI/ML solutions aligned with GM’s autonomous driving and future sensing objectives.
- Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling and selection, and foundation modeling to solve problems in object detection, tracking, classification, perception, and safe AI.
Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field.
- Experience applying machine learning techniques to real-world systems or large-scale datasets.
- Proficiency in PyTorch and Python, and experience with model training pipelines or large-scale data processing workflows.
Compensation & Benefits:
- The salary range for this role is $182,400 to $250,600 per year.
- Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, life insurance, paid vacation & holidays, tuition assistance, and more.
- Relocation benefits may be available for this role.
General Motors
General Motors is redefining mobility through human-centered design, creating vehicles and experiences that aim to make driving safer, smarter, and more connected. With a global footprint and a culture focused on innovation and inclusion, GM’s diverse team brings collective passion for engineering, technology, and design to deliver on a vision of Zero Crashes, Zero Emissions, and Zero Congestion.