Senior AI/​ML Engineer - Autonomous Vehicle Data Foundations

About the Role

Join General Motors as a Senior AI/ML Engineer for Autonomous Vehicle Data Foundations. In this fully remote role, you'll leverage your expertise in machine learning to redefine mobility and contribute to the development of next-generation autonomous vehicles. This position offers the opportunity to work with cutting-edge technology and a collaborative team focused on innovation and safety.

What You'll Do

• Develop and improve machine learning solutions aligned with GM’s autonomous driving objectives.
• Apply advanced techniques such as unsupervised pre-training, imitation learning, and reinforcement learning to enhance object detection, tracking, and classification.
• Collaborate with cross-functional teams to deploy models into onboard driving systems, ensuring safe and reliable vehicle behavior.
• Implement and evaluate models, incorporating the latest research advancements into practical applications.
• 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 a related field.
• Proven experience applying machine learning techniques to real-world systems or large-scale datasets.
• Proficiency in PyTorch and Python, with strong data processing skills using tools like NumPy, Pandas, and Apache Spark.
• Experience working with model training pipelines or large-scale data processing workflows.
• Ability to collaborate effectively within cross-functional engineering teams.

Nice to Have

• Experience deploying ML models into production or working within production ML environments.

What We Offer

• Competitive salary range of $159,300 to $230,700, commensurate with experience.
• Incentive pay program based on company and individual performance.
• Comprehensive health and wellbeing benefits, including medical, dental, vision, and retirement savings plans.
• Flexible work arrangements with remote work options.
• Tuition assistance programs and GM vehicle discounts.