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Senior Staff / Principal Machine Learning Engineer - Autonomy Behaviors

Zoox· Software – Autonomy Software
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Hybrid (Foster City, CA)$340k - $492kFull-timePosted 11mo ago

About the role

Principal ML Engineer role leading ML development for the onboard Planner within Zoox's Autonomy Behaviors team, collaborating across Autonomy Software, Simulation, System Design, Mission Assurance, and Foundation Models to advance imitation learning, reinforcement learning, and model scaling for autonomous driving in urban environments.

Responsibilities

  • 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

Skills

Required:Machine Learning leadershipDeep Learning deploymentProgramming

Benefits

  • paid time off (e.g. sick leave, vacation, bereavement)
  • unpaid time off
  • Zoox Stock Appreciation Rights
  • Amazon RSUs
  • health insurance
  • long-term care insurance
  • long-term and short-term disability insurance
  • life insurance
Last updated Oct 21, 2026. Interested? Apply on the company site.
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