Staff Machine Learning Engineer (Mapping)

Join Waymo, a leader in autonomous driving technology, as a Staff Machine Learning Engineer. In this role, you will design, train, and deploy machine learning models to automate the creation of HD maps, enabling the scalability of the Waymo Driver. You will apply and advance state-of-the-art ML techniques, own the complete model development lifecycle, and collaborate closely with partner ML teams. Enjoy a comprehensive benefits package, including medical, dental, and vision insurance, mental health support, competitive compensation, and a hybrid work model.

Responsibilities

• Design, train, and deploy machine learning models to automate the creation of Waymo's HD maps.
• Apply and advance state-of-the-art ML techniques, including Vision-Language Models (VLMs) and other Generative AI approaches.
• Own the complete model development lifecycle, from data mining and processing to model training, evaluation, validation, and productionization.

Requirements

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

Preferred

• Familiarity with foundation models and techniques for model adaptation (e.g., few-shot learning, transfer learning, domain adaptation)

Pay

USD 251,000 - 310,000