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Waymo is looking to improve its autonomous driving technology by building the Waymo Driver, which requires the development of a system that can learn the spatial-temporal representation and semantic meanings of the surrounding environment of the self-driving car.

Requirements

• Experience with Python
• Experience with ML frameworks like PyTorch or JAX
• 3+ years experience in Machine Learning and/or Computer Vision
• Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
• MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
• Experience with C++
• Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI

Responsibilities

• Apply machine learning techniques to build multi-modal sensor fusion architectures and spatial-temporal representation learners for object detection and tracking, occupancy and semantic segmentation, road understanding, etc.
• Develop scalable recipes for large data, large model training running on Alphabet’s compute infrastructure, create methods and recipes for pre-training and post-training.
• Develop methods and recipes for distributed fine-tuning enabling multiple developers to simultaneously improve the model, develop methods and recipes to avoid regression against a production system.
• Develop and maintain model evaluation recipes and metrics for measuring and improving performance of pre-trained and fine-tuned models

Other

• Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
• 3+ years experience in Machine Learning and/or Computer Vision
• MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
• Travel requirements not specified
• Visa requirements not specified
• Degree requirements: Bachelors, MS or PhD in relevant disciplines