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Waymo is looking to improve access to mobility while saving thousands of lives now lost to traffic crashes by building the Waymo Driver—The World's Most Experienced Driver™, and the Audio Perception team focuses on leveraging audio to provide sufficient scene understanding and driving behavior

Requirements

• 5+ years of experience in Machine Learning, with a strong focus on deep learning for perception tasks
• Deep understanding of state-of-the-art ML techniques, especially those related to multi-class classification, regression, model adaptation and scarce data
• Proficiency in at least one deep learning framework (e.g. TensorFlow, PyTorch, JAX)
• Proficiency in C++ and Python
• Experience in audio modeling or digital signal processing
• Familiarity with multi-modal systems and/or foundation models
• Experience implementing infrastructure to support model development (e.g. data processing modules)

Responsibilities

• Support new product requests end-to-end, from problem definition to a solution that is integrated in the onboard driving system
• Streamline the model development and evaluation stack for rapid adaptation to new tasks and data
• Establish and maintain a sustainable model stack to facilitate Waymo’s scaling across multiple platforms and cities

Other

• Bachelor’s degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
• Master’s degree or Ph.D in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
• Background in autonomous driving or robotics
• Experience in optimizing ML models for on-device deployment and real-time performance
• Familiarity with SQL