Use Python and SQL to analyze real-world food, health, and lifestyle data, contributing to recommendation systems, clinical research, visualizations, and business reports in a Tokyo R&D internship.
About this role
This full-time machine learning engineer role is part of the research and development team for Oishi Kenko’s food and health services. The team works to improve service value with machine-learning models and to build academic evidence for the effectiveness of the company’s services.
Responsibilities include developing and tuning a content recommendation system using user profiles, nutrition information, recipes, and menus. The role also covers data design, analysis, and visualization for clinical studies conducted with universities and hospitals, as well as preparing food-trend data reports for business customers in the pharmaceutical, food, and insurance industries. The position may also involve academic research activities, including opportunities to contribute to papers and conference presentations.
The technical workflow aggregates logs, service data, and research data as tabular data in BigQuery. Analysis and processing are performed with Python and SQL. The recommendation engine runs on Django and returns information to a service API server built with Rails. The listed development environment includes Python, SQL, Ruby, AWS, GCP, BigQuery, and MySQL.
Required experience includes at least two years building or operating machine-learning models; at least one year of practical experience processing, analyzing, and visualizing data with SQL, Python, or similar tools; at least one year using databases with SQL; and at least one year of team development using a source-code management system such as GitHub. Basic statistics knowledge, including tests and multiple regression, is required. The posting also requires at least one year of practical experience selecting appropriate data-analysis methods for business or client issues, together with a focus on maintainable, usable code and documentation.
Experience with Ruby or Rails, mobile application development, or infrastructure operations using cloud platforms such as AWS is welcomed. The research and development team consists of two full-time members and five part-time members and includes data scientists and machine-learning engineers. The broader company includes engineers, designers, and registered dietitians working on services such as the Oishi Kenko meal-management application and the Kakaris dietary-guidance solution for medical institutions.
The job is located in Tokyo. The company states that employees use remote work and core-time flextime. Online interviews are available. The posting identifies the position as mid-career and does not state a salary or language requirement.
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