Internship

Machine Learning Engineer Intern

Confirmed live in the last 24 hours

XPeng Motors

XPeng Motors

1,001-5,000 employees

Designs and manufactures intelligent electric vehicles and aircrafts

Data & Analytics
Robotics & Automation
Hardware
Consumer Software
AI & Machine Learning

Santa Clara, CA, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
Pytorch
Requirements
  • 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.
Responsibilities
  • Research areas encompass a wide range of topics in the areas of Foundation Models, such as building VLM from scratch, research deep into world models and its subsequent tasks such as 3D reconstruction, 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.

XPENG stands out as a leader in the tech industry, with its focus on intelligent mobility solutions such as electric vehicles and eVTOL aircraft, demonstrating a competitive edge in the rapidly evolving transportation sector. The company's proprietary Advanced Driver Assistance System (XPILOT) and intelligent operating system (Xmart OS) enhance the user experience by integrating technology and mobility, positioning XPENG as a pioneer in smart, people-first mobility. The company's culture fosters technological advancement, making it an exciting workplace for those passionate about shaping the future of transportation.

Company Stage

N/A

Total Funding

$8.2B

Headquarters

Guang Zhou Shi, China

Founded

2014