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The Machine Learning Engineer will fine-tune and maintain large language models for Humanoid Robots and Autonomous Driving Cars, develop training and deployment pipelines, leverage large-scale datasets, explore synthetic data generation, and collaborate with teams to align on product needs.

The Senior Staff Machine Learning Engineer will design, train, and deploy large deep learning models to enhance autonomous driving capabilities. This role involves establishing ML infrastructure for large model training and inference, and requires collaboration with software engineers and research scientists to advance state-of-art machine learning models.

As an AI Performance Engineer, you will optimize the training and inference performance of machine learning models for autonomous driving, working closely with software engineers and researchers to enhance the capabilities of deep learning on NVIDIA GPU systems and AV onboard systems.

The Machine Learning Engineer will design, train, and deploy large deep learning models utilizing extensive data from a fleet of vehicles, focusing on enhancing model training and inference for autonomous driving solutions.

The Senior Machine Learning Engineer will develop and optimize perception algorithms for autonomous vehicles, focusing on deep learning and computer vision. Responsibilities include training models on GPU clusters, improving algorithms, and collaborating with software teams.

As a Staff Machine Learning Engineer, you will design deep learning algorithms using vast data from vehicles, adopt recent advancements in machine learning, and collaborate with software developers to enhance the autonomous driving product.

The role involves designing deep learning algorithms for autonomous driving, working with labeled and unlabeled data from vehicles, and collaborating with developers to implement AI software systems and research advancements in machine learning.