Senior Machine Learning Engineer - Motion Planning & Model Introspection

Our team designs, builds, and maintains software supporting the introspection of machine learning-based motion planners. We are responsible for developing introspection techniques and providing autonomy software engineers tooling used to understand and debug motion planning behavior. In this role, you will:

Lead new initiatives to introspect the output of machine learning motion planning models. You will both utilize existing cutting edge techniques as well as develop novel introspection techniques.

Design new architecture and implement new tools used to analyze machine learning model behavior.

Collaborate with engineers on Perception, Prediction, Planning, Machine Learning Model, and Visualization teams to enable development of behavior improvements.

Qualifications

MS or PhD in Computer Science, Machine Learning, or a related field

5+ years of industry experience in Machine Learning–experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation

Proficiency in Python and ML libraries (PyTorch, NumPy, Jax)

Strong understanding of Imitation and Reinforcement Learning concepts and motion planning search techniques

Familiarity with common learned model introspection techniques

Bonus Qualifications

Familiarity with autonomous vehicles or robotics

Solid understanding of LLM concepts

Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)