aimlroles

Software Engineer - Learned Trajectory Machine Learning Engineer

Zoox zoox.com Open · verified Oct 22, 2026
Hybrid Foster City Full-time Mid-level Machine Learning Engineering

At a glance

Mid-level Machine Learning Engineering role at Zoox. Foster City · full-time · $189,000–$270,000 base.

SalaryStated by Zoox
$189,000 – $270,000
Base salary for this role, in USD per year, as published in the posting.
RoleMachine Learning Engineering
SeniorityMid-level
LocationFoster City
WorkplaceHybrid
EmploymentFull-time
Base pay$189,000–$270,000
PostedNov 7, 2024 · 1y ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build deep-learning systems that generate vehicle trajectories using imitation and reinforcement learning
  • Assess planned routes for safety, progress and comfort, and develop ways to measure their quality
  • Use large-scale ML infrastructure to explore new approaches to trajectory generation
  • Create metrics and tools that help identify system errors and track improvements
  • Work with perception, planning and simulation engineers on challenging urban driving problems

What you bring

  • A bachelor’s, master’s or doctoral degree in computer science or a related discipline
  • Experience training and deploying transformer models and reinforcement-learning systems
  • Hands-on experience with production ML pipelines, including data preparation, training and metric workflows
  • Strong programming and algorithm-design skills, plus fluency in C++ or Python and basic C++ knowledge
  • Strong mathematical skills

Who this fits

This mid-level role suits an engineer focused on learned trajectory generation, ML evaluation and autonomous driving systems. You’ll collaborate across planning, perception and simulation. The role is hybrid in Foster City.

From the employer

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.

In this role, you will:

  • 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

Bonus Qualifications

  • Conference or Journal publications in Machine Learning or Robotics related venues
  • Prior experience with Prediction and/or autonomous vehicles or robotics in general
About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.