Fellow - Autonomy (Distinguished Engineer)
Core
Develop key features for Motional's autonomous driving platform by applying machine learning to prediction, planning, and control problems.
Role type
Distinguished Machine Learning Engineer (Autonomy)
Builds
Industrial strength ML models for autonomous vehicle planning and control
Domain
Autonomous driving / Robotics
Deliverable
production ML models
Required skills
Deep neural networks, autonomous vehicles, domain adaptation, large language models (LLM), transformers, large scale production ML systems, deep neural network training/inference/optimization, mathematical foundations of ML/DL
Preferred skills
ML planning lead experience, publication record in ML for planning/vision, vision language action/chain of thought models
Technologies
Pytorch, Tensorflow, TensorRT
Responsibilities
Research, implement, and evaluate deep-learning-based methods for prediction and planning; lead, design, run, and analyze experiments on real-world data; partner with system software engineering to ship models
Seniority
Distinguished Engineer, hands-on IC with leadership
