Staff ML Engineer - Embodied AI Onboard Autonomy

Join the Embodied AI team at General Motors and contribute to the development of machine learning solutions for autonomous driving. As a Staff ML Engineer, you will design, architect, and deploy advanced ML models that enable vehicles to navigate diverse real-world scenarios and conditions. The role requires experience with large-scale Foundation Models, deep learning models, and state-of-the-art computer vision techniques. The team is at the forefront of developing groundbreaking onboard ML systems powering fully autonomous vehicles.

Requirements

• Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
• 4+ years of experience working with large-scale Foundation Models, including LLMs, VLAs, and vision-focused models.
• Extensive experience developing and deploying advanced ML systems, particularly in end-to-end real-time onboard applications.
• Proven track record as a technical expert in developing robust deep learning models that directly map sensor data to actionable outputs within safety-critical systems.
• Deep expertise in state-of-the-art computer vision techniques, neural architectures, representation learning, real-time inference, model optimization, and robustness under uncertainty.
• Strong software engineering proficiency, particularly Python and C++, alongside extensive hands-on experience with modern ML frameworks (PyTorch, TensorFlow, JAX).
• Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML engineering excellence across the organization.

Benefits

• Hybrid work arrangement
• Relocation benefits
• Company vehicle evaluation program