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PayPay
1 year ago
Grade
Lead
Work format
Hybrid
Employment
Full-time
An email or a Telegram message to the recruiter
PayPay is a fintech company that launched its service in 2018 and, within 8 years, surpassed 75 million users. Our team comprises diverse specialists from approximately 50 countries and regions. We leverage cutting-edge technologies, including artificial intelligence and data, to drive the rapid development of our services and business. We are seeking passionate professionals eager to join us in advancing Japan's cashless payment system and building a financial platform upon it, creating new value for our users.
About the Work
▼ About the Operations Development Division The Operations Development Division functions as both "offense" and "defense" to support business growth. It covers PayPay's payment, financial, and information domains, ensuring "safety and reliability" as well as "operational efficiency." We develop operational strategies, utilize corporate data, manage risks, and drive innovation across various areas using AI and technologies, thereby supporting PayPay's secure and reliable financial service foundation. This vacancy is open in the Infrastructure Planning Department.
We are looking for a leader to plan and develop next-generation operational infrastructure based on AI application. ・Role: Leveraging expertise in AI, data analysis, and system development, we plan and develop new IT solutions that will fundamentally transform PayPay's operational activities. Our team consists of approximately 20 members, aged between 20 and 40. ・Mission: Maximize IT ROI to contribute to the PayPay Group's business.
▼ Reason for Opening the Vacancy While PayPay continues its rapid growth through cashless payments, it is currently significantly expanding its scope to encompass new financial and lifestyle services. During this transitional period, we urgently need to redefine our operational structure and build a solid foundation for growth. We await your ambitious challenges to build PayPay's future together.
We are currently opening two positions, and you may be responsible for multiple areas. ・You can participate in various development projects of different scales, evolving at a remarkable speed. ・You can challenge yourself in planning and implementing infrastructure using cutting-edge technologies like Generative AI and new frameworks. ・This is an environment where you can hone your planning and implementation skills alongside members from various departments with specialized knowledge. ・The solutions you develop will be deployed across the entire company and its subsidiaries.
Additionally, you will lead automation and system integration using technologies to enhance operational efficiency and quality. It is essential to structurally understand on-site issues and promote the digital transformation (DX) of operations using RPA, workflow management systems, data integration platforms, AI solutions, etc.
Driving diverse operational transformations that support PayPay's growth. ① Machine Learning Engineer You will leverage the vast amounts of payment, user, and merchant data that PayPay possesses to advance fraud detection, AML, and various verification procedures through machine learning and AI. This position involves not only developing machine learning models but also comprehensively managing the entire process: from understanding business challenges to data analysis, model design and development, system implementation, and operation and continuous improvement, transforming PayPay's operations with the power of AI and data. ・Design, develop, and improve machine learning models for fraud detection and prevention, such as Account Takeover (ATO). ・Develop AI/machine learning models for AML risk detection and scoring. ・Plan and develop AI models to enhance the efficiency and automation of various verification procedures related to users and merchants. ・Perform feature engineering, data analysis, and model evaluation using large volumes of payment, user, and merchant data. ・Implement developed machine learning models into production systems and create mechanisms for their subsequent operation. ・Monitor model accuracy and effectiveness, and continuously improve them. ・Engage in cross-functional collaboration with business stakeholders, data scientists, engineers, and risk/compliance departments.
② Operations Engineer You will build the technical infrastructure that supports AI democratization and development at PayPay, and drive fundamental transformation of operational activities using AI, data, and cloud technologies. Specifically, you will be responsible for the design and implementation of next-generation infrastructure that enables automation and operational efficiency, aiming to transition from traditional labor-intensive operational processes to new operational processes where AI and systems handle information autonomously. This is a position where you will not just develop specified systems, but also identify issues in collaboration with business units, and manage the entire cycle from solution planning and design to PoC, development, implementation, and operational integration. You will act as an implementer who understands both technology and business processes, and realizes operational transformations within the PayPay Group. ・Design, develop, test, and scale next-generation infrastructure for the PayPay Group. ・Plan and develop functionalities for automating and supporting operations using Generative AI (LLM), AI agents, Natural Language Processing, etc. ・Design and implement systems and data for integrating Generative AI into operations, such as RAG, focused on specific business challenges. ・End-to-end automation of operations by integrating various operational systems, SaaS, AI, and data platforms. ・Analyze business unit issues and design future operational processes using systems and AI. ・Design and develop functionalities necessary for operational automation, such as data integration platforms, APIs, ETL/data pipelines. ・Validate technologies through PoC, followed by development and implementation, and continuous improvement with operational considerations. ・Engage in cross-functional collaboration with other departments such as engineers, data scientists, machine learning engineers, and business stakeholders.
Therefore, we are seeking specialists who can independently plan and drive initiatives directly linked to management strategy across diverse areas such as process design, master data creation, and risk management. In any of these areas, the ability to not just make improvements but to systematize and drive transformations is required.
Required Experience/Skills ① Machine Learning Engineer ・Experience with Python development. ・Fundamental knowledge of machine learning and experience training/evaluating models. ・Experience in data analysis and model development using pandas, scikit-learn, PyTorch, etc. ・Experience in processing training data, feature engineering, and selecting evaluation metrics. ・Experience in team development using Git. ・Experience integrating developed models into production systems via APIs or batch processes.
② Operations Engineer ・Experience in application development using Java, Python, etc. ・Experience in designing and developing APIs and backend services. ・Experience in design, implementation, and testing based on requirements. ・Experience with SQL and database development. ・Experience in team development using Git. ・Experience in systematizing business requirements and translating them into system functionalities and data structures.
① Machine Learning Engineer ・Experience operating models in production environments, retraining, monitoring accuracy, etc. ・Experience using cloud platforms such as AWS, GCP, Azure. ・Experience in development/operation using Docker, CI/CD, workflow management, etc. ・Experience in areas relevant to this vacancy, such as Generative AI, Natural Language Processing, search/recommendation, image recognition. ・Experience in aligning requirements with business units and defining evaluation methods and implementation effects.
② Operations Engineer ・Experience in developing and operating systems in a cloud environment. ・Experience with development using Docker, CI/CD, container orchestration, etc. ・Experience in designing authentication/authorization, access control, audit logs, etc. ・Experience in designing performance, load reduction measures, and scaling for large-scale usage. ・Experience in designing and developing data integration, ETL, data pipelines. ・Experience developing services, APIs, and operational functionalities using machine learning and generative AI. ・Experience in design considering data quality, personal information, and confidential information.
・Systematizing the structure and meaning of operational data, designing data models/schemas. ・Designing methods for integrating and processing data used by AI functionalities and operational tasks. ・Creating mechanisms considering data quality, update frequency, access rights, and confidentiality. ・Aligning data requirements and usage methods with machine learning engineers and business stakeholders.
PayPay's Ideal Candidate Profile Alignment with PayPay's 5 Senses Principles
Preferred Experience/Skills
Conditions and Compensation Employment Type Full-time employee
Work Location Hybrid work format
Working Hours Super Flexible Hours (no fixed working hours) Principle: 9:00 to 17:45 (Actual work: 7 hours 45 minutes + 1 hour break)
Days Off Saturdays, Sundays, national holidays, year-end and New Year holidays, and company-determined days.
Leave (in accordance with laws and internal company regulations) Annual Paid Leave (14 days in the first year, prorated based on the month of joining. Usable from the first day of employment). Personal Leave (5 days annually / 3 or 5 days in the first year depending on the month of joining).
Salary Annual salary (including a portion of fixed overtime pay) Determined according to company regulations based on experience, skills, results, and contributions. Reviewed annually. Overtime pay, night shift pay.
Benefits Social Insurance (Health Insurance, Pension Insurance, Employment Insurance, Workers' Accident Compensation Insurance). Company-defined contribution pension plan.
About PayPay PayPay is a fintech company that launched its service in 2018 and, within 8 years, surpassed 75 million users. Our team comprises diverse specialists from approximately 50 countries and regions. We leverage cutting-edge technologies, including artificial intelligence and data, to drive the rapid development of our services and business. We are seeking passionate professionals eager to join us in advancing Japan's cashless payment system and building a financial platform upon it, creating new value for our users.
About the Work
▼ About the Operations Development Division The Operations Development Division functions as both "offense" and "defense" to support business growth. It covers PayPay's payment, financial, and information domains, ensuring "safety and reliability" as well as "operational efficiency." We develop operational strategies, utilize corporate data, manage risks, and drive innovation across various areas using AI and technologies, thereby supporting PayPay's secure and reliable financial service foundation. This vacancy is open in the Infrastructure Planning Department.
We are looking for a leader to plan and develop next-generation operational infrastructure based on AI application. Additionally, you will lead automation and system integration using technologies to enhance operational efficiency and quality. It is essential to structurally understand on-site issues and promote the digital transformation (DX) of operations using RPA, workflow management systems, data integration platforms, AI solutions, etc.
▼ Role and Mission of the Infrastructure Planning Department ・Role: Leveraging expertise in AI, data analysis, and system development, we plan and develop new IT solutions that will fundamentally transform PayPay's operational activities. Our team consists of approximately 20 members, aged between 20 and 40. ・Mission: Maximize IT ROI to contribute to the PayPay Group's business.
▼ Reason for Opening the Vacancy While PayPay continues its rapid growth through cashless payments, it is currently significantly expanding its scope to encompass new financial and lifestyle services. During this transitional period, we urgently need to redefine our operational structure and build a solid foundation for growth. Therefore, we are seeking specialists who can independently plan and drive initiatives directly linked to management strategy across diverse areas such as process design, master data creation, and risk management. We await your ambitious challenges to build PayPay's future together.
【Specific Responsibilities】 Driving diverse operational transformations that support PayPay's growth. We are currently opening two positions, and you may be responsible for multiple areas. In any of these areas, the ability to not just make improvements but to systematize and drive transformations is required.
《Specific Responsibilities》 ① Machine Learning Engineer You will leverage the vast amounts of payment, user, and merchant data that PayPay possesses to advance fraud detection, AML, and various verification procedures through machine learning and AI. This position involves not only developing machine learning models but also comprehensively managing the entire process: from understanding business challenges to data analysis, model design and development, system implementation, and operation and continuous improvement, transforming PayPay's operations with the power of AI and data. ・Design, develop, and improve machine learning models for fraud detection and prevention, such as Account Takeover (ATO). ・Develop AI/machine learning models for AML risk detection and scoring. ・Plan and develop AI models to enhance the efficiency and automation of various verification procedures related to users and merchants. ・Perform feature engineering, data analysis, and model evaluation using large volumes of payment, user, and merchant data. ・Implement developed machine learning models into production systems and create mechanisms for their subsequent operation. ・Monitor model accuracy and effectiveness, and continuously improve them. ・Engage in cross-functional collaboration with business stakeholders, data scientists, engineers, and risk/compliance departments.
② Operations Engineer You will build the technical infrastructure that supports AI democratization and development at PayPay, and drive fundamental transformation of operational activities using AI, data, and cloud technologies. Specifically, you will be responsible for the design and implementation of next-generation infrastructure that enables automation and operational efficiency, aiming to transition from traditional labor-intensive operational processes to new operational processes where AI and systems handle information autonomously. This is a position where you will not just develop specified systems, but also identify issues in collaboration with business units, and manage the entire cycle from solution planning and design to PoC, development, implementation, and operational integration. You will act as an implementer who understands both technology and business processes, and realizes operational transformations within the PayPay Group. ・Design, develop, test, and scale next-generation infrastructure for the PayPay Group. ・Plan and develop functionalities for automating and supporting operations using Generative AI (LLM), AI agents, Natural Language Processing, etc. ・Design and implement systems and data for integrating Generative AI into operations, such as RAG, focused on specific business challenges. ・End-to-end automation of operations by integrating various operational systems, SaaS, AI, and data platforms. ・Analyze business unit issues and design future operational processes using systems and AI. ・Design and develop functionalities necessary for operational automation, such as data integration platforms, APIs, ETL/data pipelines. ・Validate technologies through PoC, followed by development and implementation, and continuous improvement with operational considerations. ・Engage in cross-functional collaboration with other departments such as engineers, data scientists, machine learning engineers, and business stakeholders.
▼ Appeal of This Position ・You can participate in various development projects of different scales, evolving at a remarkable speed. ・You can challenge yourself in planning and implementing infrastructure using cutting-edge technologies like Generative AI and new frameworks. ・This is an environment where you can hone your planning and implementation skills alongside members from various departments with specialized knowledge. ・The solutions you develop will be deployed across the entire company and its subsidiaries.
Required Experience/Skills ① Machine Learning Engineer ・Experience with Python development. ・Fundamental knowledge of machine learning and experience training/evaluating models. ・Experience in data analysis and model development using pandas, scikit-learn, PyTorch, etc. ・Experience in processing training data, feature engineering, and selecting evaluation metrics. ・Experience in team development using Git. ・Experience integrating developed models into production systems via APIs or batch processes.
② Operations Engineer ・Experience in application development using Java, Python, etc. ・Experience in designing and developing APIs and backend services. ・Experience in design, implementation, and testing based on requirements. ・Experience with SQL and database development. ・Experience in team development using Git. ・Experience in systematizing business requirements and translating them into system functionalities and data structures.
Preferred Experience/Skills ① Machine Learning Engineer ・Experience operating models in production environments, retraining, monitoring accuracy, etc. ・Experience using cloud platforms such as AWS, GCP, Azure. ・Experience in development/operation using Docker, CI/CD, workflow management, etc. ・Experience in areas relevant to this vacancy, such as Generative AI, Natural Language Processing, search/recommendation, image recognition. ・Experience in aligning requirements with business units and defining evaluation methods and implementation effects.
② Operations Engineer ・Experience in developing and operating systems in a cloud environment. ・Experience with development using Docker, CI/CD, container orchestration, etc. ・Experience in designing authentication/authorization, access control, audit logs, etc. ・Experience in designing performance, load reduction measures, and scaling for large-scale usage. ・Experience in designing and developing data integration, ETL, data pipelines. ・Experience developing services, APIs, and operational functionalities using machine learning and generative AI. ・Experience in design considering data quality, personal information, and confidential information.
・Systematizing the structure and meaning of operational data, designing data models/schemas. ・Designing methods for integrating and processing data used by AI functionalities and operational tasks. ・Creating mechanisms considering data quality, update frequency, access rights, and confidentiality. ・Aligning data requirements and usage methods with machine learning engineers and business stakeholders.
PayPay's Ideal Candidate Profile Alignment with PayPay's 5 Senses Principles
Conditions and Compensation Employment Type Full-time employee
Work Location Hybrid work format
Working Hours Super Flexible Hours (no fixed working hours) Principle: 9:00 to 17:45 (Actual work: 7 hours 45 minutes + 1 hour break)
Days Off Saturdays, Sundays, national holidays, year-end and New Year holidays, and company-determined days.
Leave (in accordance with laws and internal company regulations) Annual Paid Leave (14 days in the first year, prorated based on the month of joining. Usable from the first day of employment). Personal Leave (5 days annually / 3 or 5 days in the first year depending on the month of joining).
Salary Annual salary (including a portion of fixed overtime pay) Determined according to company regulations based on experience, skills, results, and contributions. Reviewed annually. Overtime pay, night shift pay.
Benefits Social Insurance (Health Insurance, Pension Insurance, Employment Insurance, Workers' Accident Compensation Insurance). Company-defined contribution pension plan.
Other Information: PayPay Inside-Out (Corporate Blog) /JP PayPay Inside-out (Corporate Blog) /ENG PayPay Product Blog /JP PayPay Product Blog /ENG PIVOT video: [The Financial Revolution PayPay is Stirring]
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