The opportunity
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…
What you'll do
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.
+ 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).
What they're looking for
- 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.
- 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).
