Machine Learning Engineer – System Division, Rakuten Card Co., Ltd. Full-time

Job Description:

Business Overview

At Rakuten Card, we are at the forefront of revolutionizing payment systems, seamlessly integrating credit cards, e-money, web transactions, and mobile apps into everyday life. With a proud membership base exceeding 25 million, we have consistently led the industry, achieving the highest credit card handling volume in Japan for four consecutive years based on our own issuance. Our commitment to excellence is further reflected in our unparalleled customer satisfaction rate, which we have maintained as the No.1 for an impressive 13 consecutive years.

As we continue to grow, we are driven by our ambitious “Triple 3” goal: issuing 30 million credit cards, reaching a shopping handling volume of 30 trillion yen, and capturing a 30% share of the credit card industry. Our relentless pursuit of these targets underscores our dedication to innovation, customer satisfaction, and market leadership.

We are looking for talented individuals to join us at Rakuten Card, where we are not just keeping pace with the future of payments but actively shaping it. Be a part of a dynamic team that is committed to achieving extraordinary milestones and delivering exceptional value to our customers. If you are passionate about innovation and eager to make a significant impact, we invite you to join our forward-thinking team and help us drive the future of payment systems.

Department Overview

At Rakuten Card, System Department is the backbone supporting our expanding services, catering to growing membership and transaction volumes. This department manages a wide array of systems, including card payment, credit management, Rakuten e-NAVI, Rakuten Card applications, and call center systems. Our in-house architecture policy empowers engineers to play a crucial role in renewing, upgrading and maintaining these systems to ensure top performance and reliability. Within the System Department, the Technology Incubation Group (TIG) drives technological innovation and adoption. TIG’s mission is to identify, organize, incubate, and adapt cutting-edge technologies to enhance Rakuten Card systems.

Technology Incubation Group (TIG) is essential in maintaining our No.1 position in the credit card industry by driving technological innovation and adoption. TIG’s mission is to identify, incubate, and adapt cutting-edge technologies to solve current issues and prepare for future advancements by providing better information through prototypes and technical expertise. Join TIG at Rakuten Card and contribute to shaping the future of payment systems while driving our ambitious goals forward.

Position:

Why We Hire

The Technology Incubation Group at Rakuten Card is dedicated to leveraging cutting-edge technology to solve complex problems and deliver exceptional products and services. We are seeking a highly skilled and experienced Machine Learning Engineer to join our dynamic team. If you are passionate about technology and eager to make a significant impact, we invite you to be part of our forward-thinking team.

Position Details

As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying machine learning models and algorithms that power our products and services. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to create scalable and efficient machine learning solutions. Your expertise will be crucial in advancing our machine learning capabilities and driving innovation within the organization.

Mandatory Qualifications:

• Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.
• 5+ years of experience in machine learning, data science, or a related field.
• Strong proficiency in programming languages such as Python, R, or Java.
• Extensive experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
• Proven track record of designing and deploying machine learning models in a production environment.
• Solid understanding of statistical methods, data analysis, and data preprocessing techniques.
• Experience with big data technologies and tools such as Hadoop, Spark, or similar.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
• Experience with natural language processing (NLP), computer vision, or other specialized areas of machine learning is a plus.

Desired Qualifications:

• Experience in Financial institution or Fintech company data analytics
• Publications or contributions to the machine learning community or production experience of product launch.
• Experience with ML Ops practices and tools.

Other Information:

Additional information on Location

Tokyo, Fukuoka

Additional information on Secondment

You will be employed by Rakuten Group, Inc. and transferred to Rakuten Card Co., Ltd.
• For more information, please refer to the links below:
• About Company
• History of the Rakuten Brand
• Rakuten Group as a Global Company
• Giving Back to Society
• Latest Company News
• Press Release
• Investor Relations
• Video Links
• Other Rakuten Group Activities
• Conditions of Employment
• Rakuten Group Employee Benefits

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Languages:
English (Overall – 4 – Fluent), Japanese (Overall – 2 – Intermediate)