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 will join a small research and development team working with data from the Oishii Kenko food and health service. The role focuses on improving service value through machine-learning models and building academic evidence for the effectiveness of the service.
Day-to-day work includes developing and tuning a content recommendation system using user profiles, nutrition information, recipes, and meal-plan data. The role also covers data design, analysis, and visualization for clinical research conducted with universities and hospitals, as well as preparing reports on food-trend data for business customers in the pharmaceutical, food, and insurance sectors. There are opportunities to contribute to research activities, including academic papers and conference presentations.
The technical workflow aggregates logs, service data, and research data as tabular datasets in BigQuery. Python and SQL are used for analysis and data processing. The recommendation engine server is built with 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 of practical experience building or operating machine-learning models; at least one year using SQL and Python or similar tools for data processing, analysis, and visualization; at least one year of experience using databases with SQL; and at least one year of team development using GitHub or another source-code management system. Applicants should understand basic statistics, including statistical testing and multiple regression. The role also requires at least one year of practical experience selecting suitable data-analysis methods for business or client problems, along with coding and documentation that consider ease of use and operation.
Experience with Ruby or Rails, mobile application development, or infrastructure operations using AWS or another cloud platform is welcomed. The research and development team consists of two full-time members and five part-time members, including data scientists and machine-learning engineers. The company develops the Oishii Kenko food-management application and the Kakaris dietary-guidance solution for medical institutions, using data and AI in the food and health domain.
The work location is Tokyo. The company states that employees use remote work and core-time flextime. Online interviews are available. New employees receive onboarding during their first six months, including monthly one-on-one lunches with a mentor and regular meetings with the CEO. The company also holds welcome lunches and seasonal internal events approximately every three months.
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