Machine Learning Engineer - Prediction and Planning

The Offline Driving Intelligence team develops Foundation Models for prediction and planning, applying them both off-vehicle for ML capabilities in simulation and validation, and on-vehicle to influence driving models. This role involves developing novel machine learning pipelines and models to predict the behavior of other agents and plan the ego vehicle's course of action. Responsibilities include developing deep learning models using imitation learning and reinforcement learning for driving plans, contributing to large-scale ML infrastructure, developing metrics and tools for error analysis, and collaborating with Perception, Planning, and Simulation engineers.