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Software Engineer (Learned Trajectory Machine Learning Engineer)

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Onsite

Software Engineer (Learned Trajectory Machine Learning Engineer)

Zoox

Software Engineer (Learned Trajectory Machine Learning Engineer)

Skills

Deep LearningPythonMachine Learning

20 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

2 October 2026

What they need


  • The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation
  • Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance
  • As a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior
  • 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

Benefits

  • Paid parental leave
  • Affinity groups and sports clubs
  • Work from home opportunities
  • Health insurance
  • Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
  • We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
  • We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
  • There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description- Extensive experience with programming and algorithm design
  • Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
  • Strong mathematics skills
  • BS, MS, or PhD degree in computer science or related field
  • Experience with training and deploying transformer-based model architectures and reinforcement learning
  • Fluency in C++ or Fluency in Python with a basic understanding of C++
  • Prior experience with Prediction and/or autonomous vehicles or robotics in general
  • Conference or Journal publications in Machine Learning or Robotics related venues

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