Video AI Algorithm Senior Engineer Full-time

General Information

Req #

WD00070499

Career area:

Hardware Engineering

Country/Region:

Japan

State:

Kanagawa

City:

Yokohama-shi

Date:

Tuesday, August 27, 2024

Working time:

Full-time

Additional Locations:
* Japan – Kanagawa – Yokohama-shi

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$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, 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 with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

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 www.lenovo.com , and read about the latest news via our StoryHub .

Description and Requirements

Job Description

1. Based on the video conferencing scene, research and develop the algorithm of person detection, tracking and recognition, and drive landing at product.

2. Have a deep grasp of some backbone networks, and can complete network optimization according to business requirements.

3. Follow up cutting-edge CV papers, reproduce and implement them.

Background requirement

1. Bachelor degree or above, major in Computer, Software, Communication, Science and Engineering, etc ;

2. Have a certain theoretical basis for image detection, tracking and recognition algorithms;

3. Understand the basic network principles of deep learning RNN/CNN;

4. AI model training background, familiar with the mainstream deep learning architecture;

5. Familiar with image processing frontier hot spots;

6. have a certain software development foundation, be professional at python or C++ programming language

Additional Locations:
* Japan – Kanagawa – Yokohama-shi

* Japan

* Japan – Kanagawa

* Japan – Kanagawa – Yokohama-shi