Machine Learning Engineer in Financial Services
PayPay CorporationVisit PayPay Corporation website
Japanese fintech company operating the PayPay mobile payments service.
Maintainer signals as of 9/2/2026
Tokyo, Japan
About PayPay Corporation
PayPay Corporation develops and provides electronic payment services, including the PayPay mobile payment platform. It was founded on June 15, 2018, is headquartered in Tokyo, Japan, and currently operates an active financial-services platform integrating payments with card, banking, securities, and insurance offerings.
Skills
About the Role
Develop financial services using AI and machine-learning technologies, participating 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 with 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 for 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 product development 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
