#195 Machine Learning Engineer for Sports Analysis


Pubsling date:2020/6/11
Tokyo| Permanent | ¥4M - ¥8M


Company Information

This is a sports IT company that develops a cutting-edge data platform business that fuses IT technology and sports science with the vision of "innovating for all athletes."

Providing an originally developed baseball data analysis system to contracted baseball teams and conducting consulting. In addition, we are actively engaged in media business, such as enlightenment activities and lectures on the latest sports coaching based on accumulated know-how and insights of data analysis.

The company will enter the phase of expanding its products and services from professional baseball to amateurs, from domestic to overseas, and from baseball to other sports. They are looking for new members who will be the driving force.

Job Description

With the advent of deep learning, it is expected that the momentum of utilizing AI will increase in various situations in the sports world as well.

This company, which has experts in sports science and analysts who also teach professionals, is looking for members to launch new businesses that utilize such technologies and bring new technologies to the sports world.

・Development ball tracking/player tracking program

・Development of image recognition algorithm & development of machine learning algorithm (mainly Deep Learning)

・Increased personnel due to business expansion


・Experience in Machine learning

・Experience in Deep Learning frameworks such as TensorFlow

・Image processing/image recognition knowledge/development experience (including research experience as a student)

・Japanese level enough to have job interviews

Preferred Requirements

・Experience programming development with OpenCV/C++

・Development experience in Linux environment


Expected annual salary: ¥4M – ¥8M

Location: Tokyo (Remote work is allowed)

Work hour: 9:00 – 18:30

Trial Period: 3 months (Salary and other conditions are the same)

Holiday: Saturday and Sunday, National holidays and others based on the company policy

Social insurances and transportations cost covered