Waymo

Waymo

Posted via Greenhouse

Staff Machine Learning Engineer, Maneuvering Tech

Posted Aug 5, 2026

Role at a glance

Job function
AI & Data Machine Learning Engineering
Salary
Not Disclosed
Location
Mountain View, California, United States San Francisco, California, United States
Work arrangement
Hybrid
Employment
Full-time
Experience
8+ years of industry experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments
Education
MS in Computer Science, Machine Learning, Robotics, or related technical field, or equivalent practical experience

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Qualifications

MS in Computer Science, Machine Learning, Robotics, or a related technical field, or equivalent practical experience; 8+ years of industry experience deploying, evaluating, and maintaining production ML-based systems; proficient in Python and/or C++, with strong analytical and debugging abilities; expertise with modern deep learning frameworks such as JAX or PyTorch.

Preferred

  • Experience in deep learning, reinforcement learning, and ML systems
  • Domain expertise in prediction, behaviors, motion planning, or related robotics problems
  • ML post-training experience
  • Prior industry experience (e.g., internships) in applied ML or software development
  • Publications in top-tier conferences, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL, ACL, or EMNLP

About the role

Original posting provided by Waymo

View original

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Driver Refinement and Validation’s (DRV) mission is to build upon the high-quality ML Driver developed by Driver Intelligence, refining its performance to improve autonomous driving in specific, complex real-world contexts and problem areas (e.g., Ride-Hailing contexts). It aims to ensure that the Waymo Driver always computes safe, compliant, comfortable, and useful plans. As an Engineer in DRV, you will bridge the gap between cutting-edge machine learning and real-world vehicle performance, engineering the validation and onboard systems that ensure the autonomous vehicle reliably executes intelligent and predictable maneuvers.

 

You will:

  • Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo’s business
  • Fine-tune, adapt, and benchmark state-of-the-art generative models to improve autonomous vehicle perception, motion prediction, and trajectory planning
  • Write high-quality, scalable, and thoroughly tested code to bring cutting-edge ML into production
  • Partner with world-class engineers and product managers to deliver safe and smooth autonomous vehicle behaviors

You have:

  • MS in Computer Science, Machine Learning, Robotics, or related technical field, or equivalent practical experience
  • 8+ years of industry experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments
  • Proficient programming skills in Python and/or C++, coupled with strong analytical and debugging abilities
  • Expertise with modern deep learning frameworks, such as  JAX or PyTorch

We prefer:

  • Experience in deep learning, reinforcement learning, and ML systems
  • Domain expertise in solving prediction, behaviors, motion planning, or related robotics problems
  • ML post-training experience
  • Prior industry experience (e.g. internships) in applied ML or software development
  • Publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICRA,  IROS, RSS, CoRL, ACL, or EMNLP)
The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.
Hourly PhD Pay
$251,000—$310,000 USD
Waymo

About the company

Waymo

Large Enterprise

Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.