Waymo

Waymo

Posted via Greenhouse

Perception Machine Learning Engineer

Posted Aug 5, 2026

Role at a glance

Salary
$170K – $216K/yr
Location
Mountain View, California, United States San Francisco, California, United States
Work arrangement
Hybrid
Employment
Full-time
Experience
3+ years experience in Machine Learning and/or Computer Vision
Education
Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience

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Role Summary

AI-generated

The Perception team develops systems that learn spatial-temporal representations and semantic meanings of the environment surrounding autonomous driving vehicles. This role focuses on building, training, evaluating, and optimizing perception models for the Waymo Driver and reports to a Technical Lead Manager.

What You'll Do

  • Apply machine learning techniques to build multi-modal sensor fusion architectures and spatial-temporal representation learners for...
  • Develop scalable recipes for large-data and large-model training on Alphabet’s compute infrastructure, including pre-training and...
  • Develop distributed fine-tuning methods and recipes that enable multiple developers to improve models simultaneously and avoid...
  • Develop and maintain model evaluation recipes and metrics for measuring and improving the performance of pre-trained and fine-tuned models.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Bachelor's degree in Computer Science or a similar discipline, or equivalent deep learning experience; 3+ years of experience in Machine Learning and/or Computer Vision; experience with Python and ML frameworks such as PyTorch or JAX.

Required

  • Experience with Python
  • Experience with ML frameworks like PyTorch or JAX

Preferred

  • MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
  • Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI
  • Experience with C++

Original job description

Content provided by the employer

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.

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.

In this hybrid role you will report to a Technical Lead Manager.

You will:

  • Apply machine learning techniques to build multi-modal sensor fusion architectures and spatial-temporal representation learners for object detection and tracking, occupancy and semantic segmentation, road understanding, etc.
  • Develop scalable recipes for large data, large model training running on Alphabet’s compute infrastructure, create methods and recipes for pre-training and post-training.
  • Develop methods and recipes for distributed fine-tuning enabling multiple developers to simultaneously improve the model, develop methods and recipes to avoid regression against a production system.
  • Develop and maintain model evaluation recipes and metrics for measuring and improving performance of pre-trained and fine-tuned models

You have:

  • Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
  • 3+ years experience in Machine Learning and/or Computer Vision
  • Experience with Python
  • Experience with ML frameworks like PyTorch or JAX

We prefer:

  • MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
  • Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI
  • Experience with C++

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. 

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. 

Salary Range
$170,000$216,000 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.