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Machine Learning Engineer, Simulation Realism

Waymo· Software Engineering
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Mountain View, California$213k - $263kFull-TimePosted 6mo ago

About the role

Role focused on advancing ultra-realistic AV simulations using Generative AI to model realistic agents, environments, and conditions for the Waymo Driver in a hybrid on-site role.

Responsibilities

  • Be part of a world-class applied ML team dedicated to advancing ultra-realistic autonomous vehicle (AV) simulations by leveraging Generative AI technologies.
  • Apply deep domain expertise in ML, especially GenAI, to push the boundaries of simulation realism and autonomous driving capabilities.
  • Independently manage the entire lifecycle of product innovations, from prototyping to productization, scaling simulations and data processing systems.
  • Work within a collaborative applied ML engineering team that transforms research ideas into production-ready solutions.

Qualifications

  • 7+ years experience in applied Deep Learning
  • 7+ years coding and design skills
  • 7+ years of experience solving complex production problems using state-of-the-art ML techniques
  • 7+ years of experience taking research to production
  • Expertise in Data Analysis or Data Science

Skills

Required:Deep LearningGenAI / Generative AIProduction ML SystemsData Analysis / Data Science

Benefits

  • Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About Waymo

The World’s Most Experienced Driver

Waymo—formerly the Google self-driving car project—makes it safe and easy for people & things to get around with autonomous vehicles.

Autonomous DrivingAutonomous VehiclesMobilityRide-Hailliquid-ai-recruiting-target
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