General Information

Req #
WD00012321
Career area:
Artificial Intelligence
Country/Region:
Hong Kong
City:
Hong Kong
Date:
Wednesday, October 27, 2021
Working time:
Full-time

Why Work at Lenovo

Here at Lenovo, we believe in smarter technology for all, so we spend our time building a society that’s brighter and more inclusive. And we go big. No, not big—huge. 

We’re a US$60 billion revenue Fortune Global 500 company serving customers in 180 markets around the world. Focused on a bold vision to deliver smarter technology for all, we are developing world-changing technologies that power (through devices and infrastructure) and empower (through solutions, services and software) millions of customers every day and together create a more inclusive, trustworthy and sustainable digital society for everyone, everywhere. 

The one thing that’s missing? Well… you...

Description and Requirements

Lenovo (HKSE: 992) (ADR: LNVGY) is a US$60 billion revenue Fortune Global 500 company serving customers in 180 markets around the world. Focused on a bold vision to deliver smarter technology for all, we are developing world-changing technologies that power (through devices and infrastructure) and empower (through solutions, services and software) millions of customers every day and together create a more inclusive, trustworthy and sustainable digital society for everyone, everywhere. To find out more visit https://www.lenovo.com,and read about the latest news via our StoryHub.


  • Master’s degree or higher in Computer Science or a related discipline
  • Have solid background in Computer Vision or Deep Learning
  • Familiar with PyTorch or TensorFlow
  • Strong engineering capabilities: Familiar with one or more programming languages (Python is preferred); Familiar with data structures and algorithms; Familiar with Linux and Git
  • Ability to analyze and solve problems; Ability to learn new techniques with strong-self-motivation; Good communication skills and team-working spirit

Preferred candidates with one or more aspects below:

  • Hands-on experience with model compression, model inference optimization will be an advantage
  • Having deep understanding of or real project experience in video analysis will be an advantage
  • Having research paper in top-tier conferences or journals will be an advantage