About PayPay

PayPay, a fintech company that launched its service in 2018 and surpassed 70 million users in approximately 7 years, is composed of diverse members from about 50 countries and regions.

OUR VISION IS UNLIMITED_

We believe that a clear vision is not necessary to create a future beyond our imagination. PayPay always maintains a Day 1 stance, aiming to realize a vision (future) that no one can imagine. We are looking for colleagues who are passionate about tackling this grand vision, refining products at an overwhelming speed that cannot be imitated by other companies, and professionally promoting the widespread adoption of cashless payments in Japan and its use as a financial life platform. We seek individuals who can proactively identify challenges, collaborate with others, and jointly drive the creation of new value.

About the Work

Introduction to PayPay's Financial Strategy Division

This is the execution unit responsible for achieving the company-wide mission of making PayPay the No.1 Fintech company by creating all money-related use cases on the PayPay app (in addition to "spending," this includes "saving," "increasing," "borrowing," "preparing," and "managing"). We will also invent UI/UX for smartphone-first financial services. The team consists of members with diverse experiences, skills, and perspectives, such as those with experience in new business development at major financial institutions, those involved in new businesses overseas, and those with expertise in data. We want to work with people who have a strong passion for improving existing financial services.

• Organizational structure: The current Financial Strategy Division consists of about 50 members, ranging from their late 20s to late 40s. The department also includes nearly 10 data analysts and data scientists.

Related Content

• Creating the Future of Finance with PayPayVol. 01
• Creating the Future of Finance with PayPayVol. 02
• Creating the Future of Finance with PayPayVol. 03
• Creating the Future of Finance with PayPayVol. 05
• Achieving "USER FIRST" at overwhelming speed.
• Is that work user-first? The pursuit of "financial" services that transcend industry norms
• "PayPay Funding" that achieved 5 times the expected results with Machine Learning Models x User First
• PayPay's Data Scientists who confront the "limits" of data and find solutions to unknown problems

Background of Recruitment

PayPay aims to be the No.1 Fintech company and will disseminate new forms of finance to the world. To achieve this, the maturity of our AI and data utilization organization is indispensable. This is because AI technology will inevitably play a central role in providing better financial experiences to all users in the future.

An example of a past project utilizing machine learning technology is "PayPay Funding," which launched on March 26, 2024. Moving forward, we will continue to provide better, new financial experiences by utilizing AI and data-related technologies.

However, when using AI technology at the core of mission-critical systems, many requirements are demanded of AI systems. In addition to meeting business requirements and demonstrating high performance in machine learning tasks, high reliability is required for systems that handle "money" and "user data." In particular, ensuring the reliability of highly uncertain AI systems is a challenging task. We are looking for individuals who are enthusiastic about establishing and maturing an AI and data utilization platform that supports new financial businesses, including the practice of MLOps.

• The initial department will be the "Financial Strategy Division," and we expect you to be active there first, but subsequent career paths will be considered according to your wishes.

Specific Job Responsibilities

As a Machine Learning Engineer, you will play a role in accelerating the development of financial services at PayPay and its group companies by utilizing AI and machine learning technologies. (Equivalent to Tech Lead)

• You will develop financial services utilizing machine learning in collaboration with internal engineers and data scientists. You will participate from the initial phase of business requirements definition and prototyping (e.g., using Jupyter) and smoothly advance the project from a machine learning engineer's perspective towards the full development phase for productization.
• You will define software requirements for solving business problems and quality requirements specific to machine learning systems, and determine team development policies.
• You will proactively promote developer culture necessary for efficiency and quality improvement, such as code reviews and testing, and embed it within the team and the entire company. Furthermore, you will actively work to continuously enhance the maturity of MLOps at PayPay, not limited to a single project or team activity.

Appeal of this Position

• Experience developing services to provide better financial experiences for over 70 million users and merchants nationwide.
• Opportunity to work with unique data and business challenges that only we possess.
• Opportunity to be at the center of growing an AI utilization organization.
• Belonging to the business development division, you will closely collaborate with members of diverse expertise such as business, data scientists, and data analysts, as well as members from other departments, gaining communication skills and broadening your perspective.

Required Experience/Skills

• Product development experience using Python
• Team development experience using package management, testing tools, Linter, etc.
• Experience using major data processing and machine learning libraries
• Team lead experience (approx. 5-10+ people)
• Experience and knowledge regarding MLOps
• Architectural design of ML pipelines
• Knowledge of workflow engines, especially experience in workflow management of ML systems
• Development experience using cloud services
• Ability to communicate in Japanese (daily conversation level or higher)

Desirable Experience/Skills

• Contribution experience to ML libraries, OSS
• Experience in developing in-house MLOps platforms
• Research experience in ML/Data Science or reproduction of papers
• Degree in Data Science/Computer Science
• Business English proficiency (TOEIC 800+)

PayPay's Ideal Candidate Profile

• Individuals who embody the PayPay 5 senses.

Terms and Conditions

Employment Type

• Full-time employee

Work Location

• Hybrid Workstyle (office, home, or satellite office for remote work)
• Attendance/remote work will be in accordance with the rules and work instructions of the assigned organization.
• Use of satellite offices will be subject to the rules of the assigned department.

Working Hours

• Super Flex System (no core time)
• Principle: 9:00 AM - 5:45 PM (7 hours 45 minutes actual work + 1 hour break)

Holidays

• Saturdays, Sundays, public holidays, year-end and New Year holidays, and company-designated days

Leave (Statutory Leave and Company Benefits)

• Annual paid leave (14 days for the first year, prorated based on joining month. Usable from joining date)
• Personal leave (5 days granted annually / 3 or 5 days granted for the first year depending on joining month)
• This is PayPay's unique special paid leave system, which can be used for illness/injury/hospital visits for oneself/family/pets, etc.

Salary

• Annual salary system (includes a portion of fixed overtime pay)
• Determined according to company regulations based on experience, skills, performance, and contribution
• Reviewed once a year
• Special incentive (bonus) paid once a year based on company performance and individual contribution
• Overtime work allowance, late-night work allowance

• Partial salary payment can be received via PayPay account (supports digital salary payment)

Benefits

• Social insurance (health insurance, employee pension, employment insurance, worker's accident insurance)
• 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

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