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Job Description

XPENG, an innovative smart technology company, is seeking a Senior Machine Learning Engineer - AI Foundation to contribute to the development of cutting-edge AI and autonomous driving technologies. This role involves establishing a state-of-the-art ML infrastructure for training large foundation models and accelerating model training/inference.

The Senior Machine Learning Engineer will work with talented engineers and scientists to advance machine learning models for autonomous driving. The engineer will design, train, and deploy large deep learning models.

Responsibilities:

  • Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data.

Requirements:

  • Master in CS/CE/EE, or equivalent, with 1-3 years of industry experience.
  • Good knowledge of PyTorch.
  • Knowledge of model training framework (e.g. PyTorch Lightning)
  • Knowledge of transformer architecture and ways to accelerate the training and inference of transformer models.
  • Experience of using pytorch ddp for distributed training of models.

The role at XPENG offers:

  • A fun, supportive, and engaging environment
  • Infrastructures and computational resources to support the work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving
  • Competitive compensation package
  • Snacks, lunches, dinners, and fun activities
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XPENG

XPENG is an innovative smart technology company focused on reshaping the future of transportation. The company integrates AI, autonomous driving, and machine learning into its electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. XPENG leverages real-world data to develop next-generation AI-driven driving solutions, with a focus on intelligent mobility and advancing the capabilities of autonomous driving systems through extensive R&D.

All Jobs at XPENG (34)