Senior ML Engineer - Embodied AI Scaling Foundations

General Motors is redefining mobility by creating vehicles and experiences designed to be felt. The Senior AI/ML Engineer will develop and deploy machine learning solutions that leverage multiple data sources to enhance autonomous driving performance, collaborating with cross-functional teams to translate technical concepts into production-ready solutions.

Responsibilities:

• Develop and improve ML solutions aligned with GM’s autonomous driving objectives
• Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI
• Collaborate with cross-functional teams to deploy models into onboard driving systems
• Implement and evaluate models, incorporating research advancements into practical applications
• Contribute to taking ML solutions from experimentation through deployment and production support
• Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing

Requirements:

• Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, or related field
• Experience applying machine learning techniques to real-world systems or large-scale datasets
• Proficiency in PyTorch and Python
• Experience working with model training pipelines or large-scale data processing workflows
• Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark
• Ability to collaborate effectively within cross-functional engineering teams
• Experience deploying ML models into production or working within production ML environments