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Zoox
Verified live 1d ago

Senior Machine Learning Engineer - ML Agents and Planning

Brief overview

Foster City, CAIn-person
PhDOr in progress
$242k–$290k/yrStated range
1+ yrsMinimum
718 H-1B approvalsDept. of Labor
232 green cardsCertified filings
Deep learningImitation learningReinforcement learningTransformer-based modelsMachine learning pipelinesPythonC++Model deploymentDataset creationTraining frameworksMetrics pipelines

About the company

Zoox logo
Zooxzoox.com

Zoox is an AI robotics company that provides mobility-as-a-service and self-driving car services. It is a sub-organization of Amazon.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
718H-1B approved
99%approval rate
154new H-1B hires
232PERM certified
$175,157median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
2023187
2024221
2025274
202636
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202355
202481
202550
202667
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202347
202439
2025142
20264
Top sponsored roles
Software EngineerSenior Software EngineerTechnical Program ManagerHardware Software Integration EngineerSenior Technical Program Manager
Sponsored employees from
IndiaChinaMexicoTaiwanCanada

Job description

The Offline Driving Intelligence team is responsible for developing Foundation Models for ML Agents and planning, applying them off-vehicle to provide generalization capabilities to simulation and validation. Our team collaborates closely with the Planner, Simulation and Validation teams to develop and validate our driving performance. As an ML Agents and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle.

In this role, you will...

  • You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for human-like agents.
  • You will work on novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort and realism.
  • You will contribute to 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,Simulation, and Validation to solve the overall Autonomous Driving problem.

    • Qualifications

  • PhD degree in computer science or related field +1y of professional experience (top tier publications can remove the need for the year of experience) or, MSc +5y of professional experience in a relevant field.
  • Experience in Planning and / or Prediction using Reinforcement Learning techniques 
  • Experience with training and deploying transformer-based model architectures
  • Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
  • Fluency in Python with a basic understanding of C++

    • Bonus Qualifications

  • Top tier publications (NeurIPS, ICML, CVPR)
    • There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
    Zoox also offers a comprehensive package of benefits, including 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, and life insurance.

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