| Develop and optimize scalable ML pipelines to handle large datasets, train intricate models, and seamlessly deploy them into production; Collaborate closely with diverse teams across behavior, perception, research, mapping, and infrastructure to design and implement comprehensive ML solutions; Creat... |
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Possess a minimum of 4 years of hands-on experience in ML infrastructure or large-scale distributed systems; Demonstrate expertise in ML fundamentals and deep learning frameworks like PyTorch, Jax, Tensorflow, and Keras, with a focus on scalability, optimizations, and profiling; Proficient in Python... |
