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What is it like to work at Waymo?

Waymo is a technology company that values innovation, collaboration, and safety, fostering an environment where employees can work together to develop and implement autonomous driving solutions.

The company's structure is organized into various teams, including software engineering, hardware development, and operations, allowing employees to specialize in their areas of expertise and contribute to the development of self-driving cars. Waymo's work environment is designed to encourage creativity and experimentation, with access to cutting-edge technology and resources.

Working at Waymo may appeal to individuals who are passionate about transforming the transportation industry and have a strong interest in artificial intelligence, machine learning, and software development, as the company offers opportunities to work on complex technical challenges and make a meaningful impact on society.
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Infographic showing various Machine Engineer job openings at Waymo in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 95% Physical, and 5% Remote job distribution.
Machine Learning Engineer - Mapping

Machine Learning Engineer - Mapping

Waymo

Mountain View, CA

Other

Posted 24 days ago

Job description

The Waymo Mapping team's goal is to build a high resolution map of the world to support safe autonomous driving. We work on creating the map using a combination of automatic and manual techniques and build the infrastructure to store, process, and distribute the map. Our team collaborates with several other Waymo teams that consume map data.

In this role, you will:

  • Design, train, and deploy machine learning models to automate the creation of Waymo's HD maps, unlocking scale for the Waymo Driver.
  • Apply and advance state-of-the-art ML techniques, including Vision-Language Models (VLMs) and other Generative AI approaches, to pioneer new solutions in mapping automation.
  • Own the complete model development lifecycle, from data mining and processing to model training, evaluation, validation, and productionization.
  • Collaborate closely with partner ML teams, such as Waymo Perception and Waymo AI Foundations, to adapt cutting-edge research into scalable, reliable, and production-grade solutions.

You have:

  • 4+ years of hands-on experience in Machine Learning, with a strong focus on computer vision and/or deep learning.
  • Proficiency in at least one major deep learning framework (e.g., TensorFlow, PyTorch, JAX).
  • Demonstrated experience owning problems end-to-end and working across various parts of the systems stack to deliver results.
  • B.S. in Computer Science, a similar technical field, or equivalent practical experience.

It's a Bonus if you have:

  • M.S. or Ph.D. degree in Computer Science or a related discipline.
  • Familiarity with foundation models and techniques for model adaptation (e.g., few-shot learning, transfer learning, domain adaptation).
  • A track record of publications in top-tier ML/CV conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV).
  • Experience with C++.
  • Direct experience with mapping or GIS is a bonus but not required.

Apply