Machine Learning Engineer Intern
San Diego, CA
XPeng Motors
Welcome to the official website of XPENG Motors. Discover our newest models, customize your smart e-vehicle and drive today the car of tomorrow.- 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 finetuned 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.
- 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
Tags: Autonomous Driving Computer Science Deep Learning Diffusion models Engineering Generative modeling LLMs Machine Learning MXNet PhD Python PyTorch R R&D Research RLHF TensorFlow
Perks/benefits: Career development Competitive pay Team events
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