Senior Machine Learning Engineer - Motion Planning & Model Introspection

Number of employees

4100

Foster City, CA, United States

Posted on: 2025-12-05

Category: emobility

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Employment type:

Full time

Experience required:

Senior

Salary

Salary not provided

About the company:

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.


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)
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