Machine Learning System Engineer Intern

Posted 21 Days Ago
Santa Clara, CA
1 Years Experience
Automotive
The Role
Xpeng Motors is seeking a full-time Machine Learning Engineer Intern with a focus on building LLMs or diffusion models for autonomous driving. Responsibilities include research, deploying ML solutions, and working with large datasets. The intern must have a PhD or Master's in computer science or related field, experience with CNNs/RNNs and generative models, fluency in Python, and proficiency in TensorFlow, PyTorch, or MXNet.
Summary Generated by Built In

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.

 

Job Responsibilities:

  • 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.

 

Minimum Skill 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.

  • Able to do full-time internship in fall 2024.

 

What do we provide:

  • 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

 

We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

Top Skills

Mxnet
Python
PyTorch
TensorFlow
The Company
Palo Alto, CA
993 Employees
On-site Workplace
Year Founded: 2014

What We Do

Xpeng Motors is a leading Chinese electric vehicle and technology company that designs and manufactures intelligent automobiles that are seamlessly integrated with the Internet and utilize the latest advances in artificial intelligence. Focusing on China’s young and tech-savvy consumer base, XPENG Motors strives to offer smart mobility solutions with technology innovation and cutting-edge R&D. The company’s initial backers include its CEO & Chairman He Xiaopeng, the founder of UCWeb Inc. and a former Alibaba executive. It was co-founded in 2014 by Henry Xia and He Tao, former senior executives at Guangzhou Auto with expertise in innovative automotive technology and R&D. It has received funding from prominent Chinese and international investors including Alibaba Group, Foxconn Group and IDG Capital. Currently with 3,000 employees, the company is headquartered in Guangzhou and has design, R&D, manufacturing and sales & marketing divisions in Silicon Valley, San Diego, Beijing, Shanghai, Zhaoqing (Guangdong Province) and Zhengzhou (Henan Province).

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