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 a research and development team consisting of two full-time members and five part-time members. The team works to improve the value of data and content and to build evidence for the effectiveness of the company's services.
The work includes developing and tuning a content recommendation system using user profiles, nutrition information, recipes, and menus. The role also covers designing, analyzing, and visualizing data for clinical research conducted with universities and hospitals. Other responsibilities include preparing reports on dietary trends for business clients in the pharmaceutical, food, and insurance industries. The position offers opportunities to participate in research activities, including academic paper publication.
The development process aggregates logs, service data, and research data as tabular data in BigQuery. Python and SQL are used for data processing, analysis, and visualization. The recommendation engine is written in Django and returns information to a service API server written in Rails. The listed environment includes Python, SQL, Ruby, AWS, GCP, BigQuery, and MySQL.
Required experience includes at least two years of practical experience 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 of experience using databases with SQL; and at least one year of team development experience using source-code management systems such as GitHub. The posting also requires basic statistics knowledge, including tests and multiple regression, and at least one year of practical experience selecting appropriate data-analysis methods for business or client issues. Candidates are expected to write code and prepare documentation with usability and operational ease in mind.
Experience with Ruby or Rails, mobile application development, and infrastructure operation using AWS or other cloud platforms is welcome. The team works with data from the Oishi Kenko meal-management application and supports services related to food, nutrition, health, and medical care, including the Kakaris meal-guidance solution for medical institutions. The company also conducts joint clinical research and collaborates with medical, pharmaceutical, food, and insurance organizations.
The position is based in Tokyo. The company describes remote work and core-time flextime as working practices, and online interviews are accepted. New employees receive onboarding support including monthly one-on-one lunches with a mentor during their first six months and regular meetings with the CEO.
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