【Development Headquarters】AI Engineer

【About the Company】

Thoroughly sticking to communication
This is the pride of the company group.

The company's goal is not only to always respond sincerely to the feelings and requests of the users beyond the service, but also to provide value that exceeds the users' imagination and expectations through its "communication services".

"Changing the world in vivid ways through communication."
That is the mission of the company group.
Based on this definition, the company will concentrate its management resources on areas where it believes there is significant growth potential based on the value of communication and develop new businesses.

【About the Job...】

【Responsibilities】
You will be responsible for the verification and implementation of technologies, primarily focusing on machine learning, in the service development, new feature development, and research and development efforts across the company's various departments and business divisions.
You will also be expected to present the implemented machine learning technologies externally and share your technical knowledge as needed. The specific tasks you will be involved in will be determined based on your area of expertise, experience, and preferences.


・Development of stage recommendation features in game apps.
・Development of recommended deck creation features in game apps.
・Development of face detection features in photo apps.
・Development of betting style compatibility recommendation features in sports betting services.
・Development of lister recommendation features in beauty salon search apps.
・Development of horse racing prediction AI in horse racing information services.
・Research and verification of next-generation AI technologies (image, video, audio, text, etc.).

【Role and Mission】
Currently, the company has established a company-wide AI consultation service, receiving various inquiries daily. The mission is to maximize user value by understanding the challenges faced by each business division, primarily through this consultation service, and resolving them using machine learning technology.

【About the Development Headquarters】
The Development Headquarters is a cross-functional engineering organization that transcends business divisions and drives the company's key strategic initiatives through technology. It is comprised of many highly specialized engineers who not only provide technical support to each business division but are also in an environment where they can actively propose ideas to advance the business. The opportunity to be involved in a wide range of businesses is also an attractive aspect.

【Recruitment Background】
To expand the number of verifications in the machine learning field and increase contributions to the company's services, they have decided to strengthen their recruitment efforts.

【Working hours】
Flextime System

【Benefits】
・Full Social Insurance
・Commuting Allowance
・Sick Childcare & Babysitter Support Program
・App Store & iTunes Card / Google Play Card Purchase Assistance
・Book Purchase Support
・Employee Stock Ownership Plan
・Various Congratulatory and Condolence Money (with eligibility conditions)
・Massage Room
・Influenza Vaccination
・Vacation and Rewards System
・Company-Wide General Meeting
・Social Gathering System
・Circle/Community System
・Lunch Support
・Fully Equipped Drink Bar
・In-House Cafe (BYRONBAY COFFEE)
・In-House Convenience Store

【Holidays】
Saturday/Sunday/National Holiday
Annual Paid Leave
New Year Holiday
Parental Leave
Nursing Care Leave

【Required】
・Knowledge of machine learning algorithms.
・Experience developing features using machine learning.
・Experience implementing MLOps (deployment, monitoring, updating).
・Basic knowledge of computer science. *If you have a URL related to your output (GitHub, Zenn, etc.), we would appreciate it if you could share it. Preferably something where we can understand your code.

【Preferred】
・Experience in model inference and deployment on Edge AI or mobile devices.
・Specialized knowledge and implementation experience in machine learning related to text, images, audio, tabular data, etc.
・Academic research achievements and experience presenting papers in the field of machine learning.