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The intern will work on optimization problems to improve marketplace efficiency, such as fleet scheduling, positioning, and rider-vehicle matching algorithms. They will have access to ride-hailing session data, dashboard tools, and production code for algorithm development.

As a summer intern at Waymo, you will work on building infrastructures for custom kernels integrations for Transformer-based models, evaluate quantization techniques and custom kernels, and optimize end-product models, while learning from leaders in the industry.

As a Summer Intern at Waymo, you will design advanced perception models, code in Python and C++, and train/evaluate models on large datasets. You will collaborate with industry leaders on impactful projects, gaining valuable experience in autonomous driving technology.

As a summer intern at Waymo, you will design and train deep learning models on sensor data and improve perception systems for autonomous driving, collaborating on product requirements and enhancing your technical skills.

As an intern at Waymo, you will develop innovative algorithmic and system optimization techniques to enhance the efficiency of foundational models, benchmark their performance, and apply advanced deep learning techniques. You will collaborate with leaders in the field while gaining hands-on experience in software engineering for autonomous driving technology.

As an ML Engineer at Waymo, you will lead model optimization efforts for the perception foundation model, focusing on training and inference efficiency across platforms like TPU, GPU, and CPU. Collaboration with various teams will be essential to drive model enhancements.