Principal Machine Learning Scientist - Trajectory Generation - General Motors

Key Responsibilities

• Architect and implement state‑of‑the‑art trajectory generation algorithms using deep learning and reinforcement learning techniques.
• Collaborate with cross‑functional teams to integrate ML models into vehicle control stacks and validate performance in simulation and real‑world tests.
• Drive end‑to‑end research from data collection and preprocessing to model training, hyper‑parameter tuning, and deployment.
• Mentor junior scientists and engineers, fostering a culture of rigorous experimentation and continuous improvement.
• Publish findings in internal reports and external conferences, ensuring technical excellence and thought leadership.

Requirements

• Ph.D. or equivalent experience in Machine Learning, Robotics, or related field.
• Proven expertise in trajectory planning, motion control, and autonomous vehicle systems.
• Strong programming skills in Python with experience in PyTorch or TensorFlow.
• Hands‑on experience with reinforcement learning frameworks and simulation environments.
• Excellent communication skills and ability to translate complex research into actionable engineering solutions.