Senior Staff / Principal Machine Learning Engineer - Autonomy Behaviors

The Autonomy Behaviors team is responsible for producing our vehicle’s driving trajectory. As a Principal ML Engineer, you will lead the technical development of machine learning algorithms for our next-generation ML Planner. Your impact will range from delivering innovations for immediate milestones to pioneering exploratory projects.

You will collaborate closely with teams specializing in Foundation Models, Perception, Simulation, and Safety Validation, in influencing our autonomy stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company.

In this role, you will

Set the technical direction of ML development for the future of our Planner

Push the frontiers of imitation learning, reinforcement learning, and model scaling to develop new ML models for our onboard Planner

Identify and drive force-multipliers for ML development, including metrics, data, and training frameworks

Develop new methods to leverage Zoox’s Foundation Models into the ML Planner

Provide technical mentorship to the broader group of ML developers at Zoox

Collaborate with engineers across Autonomy Software, Simulation, System Design and Mission Assurance, and other departments to solve the overall Autonomous Driving problem in complex urban environments

Qualifications

BS, MS, or PhD degree in computer science or related field

Proven track record of technical leadership in large-scale AI organizations

Significant experience with training and deploying Deep Learning models to production

Fluency in C++ or Fluency in Python with a basic understanding of C++

Extensive experience with programming and algorithm design-Strong mathematics skills, 10+ years of experience

Bonus Qualifications

Conference or Journal publications in Machine Learning or Robotics related venues

Prior experience with Prediction and Planning for autonomous vehicles