Fellow, Machine Learning - Autonomy

BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience) 25+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications Deep understanding of large language models (LLM) and transformers Hands on experience building large scale production ML systems and deploying them at scale Excellent leadership and track record for innovation Experience with deep neural network (DNN) training, inference and optimization in leading frameworks (Pytorch, Tensorflow, TensorRT, etc.). Excellent understanding of the mathematical foundations of machine learning and deep learning.

Researching, implementing, and evaluating deep-learning-based methods for prediction and planning for Motional’s Autonomous Vehicle products. Leading, Designing, running, and analyzing experiments and testing to evaluate the efficiency of our solutions on real-world data. Partnering with system software engineering specialists to ship industrial strength ML models. Communicating and collaborating with multi-functional teams.