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【Entry Level】 Machine Learning Engineer - Ecosystem Platform Supervisory Department

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Onsite

【Entry Level】 Machine Learning Engineer - Ecosystem Platform Supervisory Department

Rakuten

【Entry Level】 Machine Learning Engineer - Ecosystem Platform Supervisory Department

Skills

Data ScienceCassandraMachine LearningAIElasticsearchHadoop

18 days ago

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Important information


Contract type:

Permanent

Location:

Tokyo, Japan

Work mode:

Onsite

Published on:

6 October 2026

What they need


【Position Overview】

Ecosystem Platform Supervisory Department (EPSD) develops scalable and reliable platforms that support the entire Rakuten Ecosystem globally, fostering a culture of ownership and data-driven decision-making. As a Machine Learning Engineer, you will be an integral part of our innovative team, creating and applying advanced algorithms to analyze diverse sources of data, extracting valuable insights to drive strategic decision-making. You will be responsible for creating AI models, machine learning algorithms, and systems, understanding complex business challenges, developing datasets, and deploying scalable solutions.

【Position Details】

・Design and develop machine learning and AI models

・Translate complex business challenges into data-driven solutions

・Collaborate with data engineers to construct data and model pipelines

・Apply AI and machine learning techniques to solve critical business problems

・Validate and monitor the performance of AI/Machine Learning models

・Write robust, scalable code and develop deployment strategies

・Visualize data and modeling results and communicate findings to stakeholders

・Stay updated with the latest AI and machine learning trends and techniques

【Language Proficiency】

Japanese: Business Level

English: Business Level

【Coding Test】

Required

【Mandatory Requirements】

・Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field

・Proficient in programming languages and machine learning frameworks

・Solid understanding of data structures, data modeling, and software architecture

・Strong mathematical skills with knowledge in statistics and linear algebra

・Excellent problem-solving and analytical skills

・Ability to effectively communicate complex data to non-technical team members and stakeholders

・Demonstrated ability to work independently and collaboratively in a team environment

【Desired Requirements】

・Ability to handle and work with large datasets using technologies like Elasticsearch, Hadoop, Cassandra, etc.

【Main Services】

・Rakuten Ecosystem Platform (Membership, Points, etc.)

・Many Rakuten Ecosystem Services (Rakuten Ichiba, etc.)

【Work Location】

Rakuten Crimson House

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