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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
• Experience with Machine Learning and/or Computer Vision
• 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
• Experience with C++

Responsibilities

• Create foundation scale data sets and training recipes, develop methods and recipes for human and machine labeling of foundation scale data sets.
• Create methods and recipes for continuous data intake, selection and incremental updates of large models, develop methods for data mining and recipes for automated data collection/model update flywheels.
• Develop methods and recipes for evaluating real-world performance of models, and detecting regressions in model updates.
• Develop and maintain ground-truth free performance metrics.

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
• Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, IROS, RSS, NeurIPS, AAAI, IJCV, PAMI