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The Staff Machine Learning Engineer will research, prototype, optimize and deploy perception algorithms for autonomous vehicles. Responsibilities include training large-scale deep learning models, optimizing compute resource utilization, and collaborating with software and test teams on development.

The Computer Vision Intern at XPeng Motors will design and implement vision large language models for autonomous driving, research algorithms, debug and optimize vision algorithms, and collaborate with teams on product definition and HMI integration.

The Staff Machine Learning Engineer will design, train, and deploy large deep learning models using data from millions of vehicles to enhance autonomous driving capabilities. This role includes establishing advanced ML infrastructure and improving model training/inference processes.

Design, train, and deploy large deep learning models utilizing vast amounts of data from a fleet of vehicles, working alongside engineers and scientists to advance autonomous driving solutions.

The Machine Learning Engineer Intern will work with a team to research and develop machine learning solutions for autonomous driving. Responsibilities include building and improving deep learning models, deploying AI systems, and handling large datasets to enhance object detection and segmentation tasks.

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.