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Software Engineer - Learned Trajectory Machine Learning Engineer

Zoox· Software – Autonomy Software
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Hybrid (Foster City, CA)$189k - $270kFull-timePosted 11mo ago

About the role

Learned Trajectory ML Engineer focused on developing deep learned models to generate trajectories for autonomous vehicles, integrating with behavior prediction and motion planning, and collaborating with Perception, Planning, and Simulation teams.

Responsibilities

  • You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort etc.
  • You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
  • You will develop metrics and tools to analyze errors and understand improvements of our systems
  • You will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments

Qualifications

  • BS, MS, or PhD degree in computer science or related field
  • Experience with training and deploying transformer-based model architectures and reinforcement learning
  • Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
  • Fluency in C++ or Fluency in Python with a basic understanding of C++
  • Extensive experience with programming and algorithm design
  • Strong mathematics skills

Skills

Required:Imitation learningReinforcement learningTransformer-based modelsProduction ML pipelinesPythonMathematics
Nice to have:C++

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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