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# Machine Learning Engineer, Mapping

- **Company:** Waymo LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $204,000.0 - $259,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Data Mining, Machine Learning, Tensorflow, Pytorch, Transfer Learning, Deep Learning, Information Technology
- **Published:** May 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fa07f9a4fef6db02

## About the Role

* 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.

## Description

* 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.


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