<div>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.</div><br><br><h3>In this role, you will:</h3><ul><li>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.</li><li>Design new architecture and implement new tools used to analyze machine learning model behavior.</li><li>Collaborate with engineers on Perception, Prediction, Planning, Machine Learning Model, and Visualization teams to enable development of behavior improvements.</li></ul><h3>Qualifications</h3><ul><li>MS or PhD in Computer Science, Machine Learning, or a related field</li><li>5+ years of industry experience in Machine Learning–experience building and maintaining ML training pipelines, including data preprocessing, model training, and evaluation</li><li>Proficiency in Python and ML libraries (PyTorch, NumPy, Jax)</li><li>Strong understanding of Imitation and Reinforcement Learning concepts and motion planning search techniques</li><li>Familiarity with common learned model introspection techniques</li></ul><h3>Bonus Qualifications</h3><ul><li>Familiarity with autonomous vehicles or robotics</li><li>Solid understanding of LLM concepts</li><li>Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA)</li></ul><br>

<p>Zoox is developing the first fully electric autonomous vehicles to support low-carbon transportation and to decrease congestion and reliance on individual car ownership in urban areas.&nbsp;</p>

Senior Machine Learning Engineer - Motion Planning & Model IntrospectionNew

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About the Company

Zoox

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