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 Android engineering role is based in Tokyo and focuses on the Oishi Kenko Android app and other Android applications developed for the company’s own services and client companies. The role supports service and feature expansion for food and healthcare products.
Day-to-day responsibilities include designing, developing, operating, and improving Android applications; analyzing and reporting on user usage; proposing improvements to the app experience based on that analysis; considering features and defining requirements; testing and debugging to maintain app quality; updating the app and releasing features; reviewing other developers’ code; maintaining CI/CD for mobile applications; and planning or implementing technical measures to improve development efficiency. API and server-side development is also available for candidates who can do it or want to take it on.
The posting lists as welcome qualifications experience publishing an Android application on Google Play, keeping up with Android development trends, and knowledge of or development experience using Android application architectures such as MVP, MVVM, and Clean Architecture. Experience developing GUI applications with Jetpack Compose in either personal or professional work is also welcomed.
The role contributes to the Oishii Kenko food-management and nutrition-support application and related services, including applications for patients, consumers, medical institutions, and client companies. The organization works with engineers, designers, and registered dietitians, and uses accumulated food and health data in collaboration with medical universities for research, papers, and conference presentations.
The stated development environment includes a MacBook Pro, Android Studio, MVVM, Android Jetpack libraries including Jetpack Compose, AAC, Navigation Component, Room, WorkManager, and Paging Library, as well as Kotlin Coroutines Flow, Dagger Hilt, and Epoxy. AWS is generally used for infrastructure, with services deployed on ECS. GCP is used for analytics and machine-learning tasks. CircleCI is used for most services, and Git, GitHub, and GitHub Copilot are available.
The company states that it uses remote work and core-time flextime. Online interviews are available. The organization has approximately 45 members and provides onboarding that includes mentor one-on-one lunches each month and regular CEO meetings during the first six months.
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