Senior Staff / Principal Machine Learning Engineer - Autonomy Behaviors

The role

You will lead the technical development of machine learning algorithms for the next-generation ML Planner that produces the vehicle's driving trajectory. You will set technical direction, mentor ML developers, and work across teams on autonomous driving in complex urban environments.

What you will do

• Set the technical direction of ML development for the future of the Planner
• Push the frontiers of imitation learning, reinforcement learning, and model scaling for the 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 Autonomy Software, Simulation, System Design and Mission Assurance, and other departments

Required 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

Nice to have

• Conference or journal publications in Machine Learning or Robotics related venues
• Prior experience with Prediction and Planning for autonomous vehicles

Before you apply

• Accommodations are available for the application or interview process: contact accommodations@zoox.com or your assigned recruiter
• You do not need to match every listed expectation to apply

About the company

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem to bring it to market. It aims to provide next-generation mobility-as-a-service in urban environments.