Architect scalable ML systems capable of handling petabytes of training data to power Level 4 autonomous driving technology. Design and implement a unified platform for training and deployment of state-of-the-art machine learning models. Develop scalable training pipelines to efficiently process massive datasets for autonomous vehicle perception systems. Create deployment solutions that optimize model performance on edge computing devices. Build infrastructure to support continuous improvement of models through testing and validation. Collaborate with cross-functional teams to integrate ML systems with other vehicle systems.