General Information

Req #
Career area:
Artificial Intelligence
Sunday, April 28, 2024
Working time:
Additional Locations
* China - Beijing - 北京(Beijing)

Why Work at Lenovo

 We are Lenovo. We do what we say. We own what we do. We WOW our customers. 

Lenovo is a US$62 billion revenue global technology powerhouse, ranked #217 in the Fortune Global 500, employing 77,000 people around the world, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver smarter technology for all, Lenovo has built on its success as the world’s largest PC company by further expanding into growth areas that fuel the advancement of ‘New IT’ technologies (client, edge, cloud, network, and intelligence) including server, storage, mobile, software, solutions, and services. 

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit, and read about the latest news via our StoryHub

Description and Requirements

1. Responsible for build the workflow for training and fine-tuning the machine learning models through PyTorch or TensorFlow.
2. Solve practical problems by fine-tuning existing state-of-the-art machine learning models such as YOLO, RCNN, U-Net, and DeepLab.
3. Optimize current machine learning models for xPUs(CPU, GPU, NPU, etc).
4. Deploy models through inference frameworks, such as OpenVINO, TensorRT, etc.

Job Requirements:
1. Computer or artificial intelligence related majors (computer science and technology, electronic information engineering, software engineering, artificial intelligence, machine learning, etc.), bachelor's degree or above.
2. More than 2 years of relevant development experience.
3. Proficient in C++and Python programming languages.
4. Proficient in using AI development frameworks such as PyTorch and TensorFlow.
5. Proficient in using commonly used model inference frameworks such as tensorRT, OpenVINO, and ONNX.
6. Familiar with x86 CPU, GPU hardware architecture, and hardware accelerated computing principles.
7. Understand the concepts of MLOps or DevOps.

Additional Locations
* China - Beijing - 北京(Beijing)
* China
* China - Beijing
* China - Beijing - 北京(Beijing)