Staff Machine Learning Engineer, Mapping

Job description

Job responsibilities

• 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.

Job requirements

• 8+ 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.
• 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++.