Full-Time

Machine Learning Engineer

Robotics

XPENG Motors

XPENG Motors

1,001-5,000 employees

Designs and manufactures intelligent electric vehicles and aircrafts

Compensation Overview

$148.9k - $252k/yr

+ Bonus + Equity

Santa Clara, CA, USA

In Person

Category
AI & Machine Learning (2)
,
Mechanical Engineering (1)
Requirements
  • Strong python programming skills & software development, and strong experience with any major deep learning framework.
  • Solid background in machine learning, natural language processing, computer vision, speech or data science.
  • Open-minded, collaborative & humble personality.
Responsibilities
  • Develop and maintain machine learning models (e.g. VLM, VLA, RL, etc.) training and deployment pipelines that could scale to massive production.
  • Work on efficient foundation models (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in humanoid robots.
  • Work on efficient and effective ways to generate/leverage large scale dataset and computational resource.
  • Explore novel ways to generate synthetic data to improve the data diversity & quality.
  • Communicate and align with different teams on product needs across the company.
Desired Qualifications
  • Deep understanding of multimodal LLM modern architectures, "under the hood" LLM training knowledge, quantization techniques, etc.
  • Record of publications, innovations or leadership.

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 Size

1,001-5,000

Company Stage

N/A

Total Funding

$8.2B

Headquarters

Guang Zhou Shi, China

Founded

2014