Machine Learning System Engineer Intern

XPeng-posted 12 months ago
Intern
Santa Clara, CA
5,001-10,000 employees
Repair and Maintenance
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XPeng Motors is one of China's leading smart electric vehicle ("EV") companies. We design, develop, manufacture and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers. We strive to transform smart electric vehicles with technology and data, shaping the mobility experience of the future. We are looking for a full-time machine learning intern this fall, with strong enthusiasm towards building LLMs or diffusion models. Our mission is to solve the autonomous driving problem. You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.

  • Research areas encompass a wide range of topics in the areas of Foundation Models, such as building LLM from scratch, RLHF, multi-model generative modeling, scalable end-to-end models for Autonomous Driving etc.
  • Work with cross teams to deploy machine learning solutions to continuously improve SOTA performance for multiple perception tasks, e.g., object detection, segmentation, etc.
  • Deliver pre-trained and fine-tuned models to achieve the most intelligent autonomous driving system in class.
  • Work with massive image and video label/unlabeled dataset to build a robust and scalable data driven model.
  • PhD or Master in computer science, electrical engineering, or other related fields.
  • Experience in working with CNNs/RNNs and generative models such as LLMs, diffusion models.
  • Programming fluently in Python with a deep understanding of software design, programming techniques, and algorithms.
  • Master one of several mainstream machine learning development framework such as TensorFlow, PyTorch, MXNet.
  • Able to do full-time internship starting in the next 3 months.
  • A fun, supportive and engaging environment
  • Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving
  • Opportunity to work on cutting edge technologies with the top talent in the field
  • Competitive compensation package
  • Snacks, lunches, and fun activities
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