Machine Learning Engineer in Financial Services
Japan’s largest mobile payments platform (~75M users); SoftBank/LY Corporation fintech JV; 40% equity holder of Binance Japan.
Maintainer signals as of 8/20/2026
About PayPay
PayPay Corporation is a Tokyo-based fintech company operating Japan’s leading QR/mobile payment service, founded 2018 as a SoftBank/Yahoo Japan (LY Corporation) joint venture, with banking (PayPay Bank), insurance and securities offerings. In October 2025 PayPay acquired a 40% equity stake in Binance Japan, making the crypto exchange an equity-method affiliate.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will help develop financial services using AI and machine-learning technologies. You will participate from business requirements definition and prototyping through product development, define software and machine-learning quality requirements, establish development practices, conduct code reviews and testing, and improve MLOps maturity.
Requirements
- Product development experience using Python
- Team development experience using package management, testing tools, and linters
- Experience using major data-processing and machine-learning libraries
- Experience or knowledge of MLOps
- Experience designing ML pipeline architectures
- Knowledge of workflow engines, particularly ML system workflow management
- Development experience using cloud services
- Ability to communicate in Japanese
- Experience contributing to machine-learning libraries or open-source software
- Experience developing internal MLOps platforms
- Team leadership experience with approximately 5 to 10 or more people
- Research or reproduction implementation experience in machine learning or data science
- A degree in data science or computer science
- Business English
Responsibilities
- Develop financial services using machine-learning technologies
- Collaborate with engineers and data scientists on productization
- Participate in business requirements definition and Jupyter-based prototyping
- Guide projects toward the main product-development phase from a machine-learning engineering perspective
- Define software and machine-learning system quality requirements
- Set team development policies
- Promote code reviews and testing
- Establish development practices that improve efficiency and quality
- Improve MLOps maturity across PayPay
Benefits
- Hybrid workstyle
- Super flextime with no core hours
- Annual paid leave of 14 days in the first year
- Personal leave of 5 days annually
- Health insurance
- Employees' pension insurance
- Employment insurance
- Workers' compensation insurance
- Corporate defined-contribution pension plan