CAREERS

At our Campaign Science Team,  we are conducting cutting-edge research in the areas of reinforcement learning and bandit algorithms, with the goal of enhancing user experience and marketing efficiency for businesses within the Rakuten group.

We are looking for talented research scientists with a robust strong research background and a strong motivation to join an exciting team that is constantly evolving and pushing the envelope on AI and its applications.

Fintech AI is one of the research topics in the Customer Program and is positioned as an important research topic in the Rakuten Group (especially fintech businesses). The research members develop algorithms related to financial market.

Research members are working on the development of new trading algorithms and the improvement of the existing algorithms through the analysis of various data such as market data and transaction data, and discussions with business personnel. When ideas for a new algorithm is obtained, the research members implement a simulator to conduct back-tests and evaluate the validity of the ideas.
Research members are required to have the ability to analyze a vast amount of past transaction data, mathematical thinking to obtain ideas for new algorithms based on the insights gained from the analysis, programming skills to simulate the algorithms they designed quickly without bugs, and the ability to propose the verified algorithms to the business.

With more than 70 different services in the Rakuten Group globally, our data science teams cover diverse initiatives in both the online and offline worlds. Offline Geo data and Geo Science applications are key to the optimization and overall success in fields including Logistics, Site Planning, Area Marketing and improving Customer Experience. The Geo Science Team creates algorithms and builds new Geo Intelligence layers to better understand offline activity to support many Rakuten Group services.

We are looking for talented Data Science Engineers with a strong background in at least one of the related fields (user behavior, marketing, fintech, geo-spatial data or full-stack data science product development) and a strong motivation to join an exciting team that is constantly evolving and pushing the boundaries on AI and its applications.

The Vision Program, which is one of our core science programs, aims to process and understand images and videos using advanced computer vision and machine learning. We are working in areas such as estimating product attributes for large-scale image datasets for creating catalogs, robust document image understanding for smooth customer onboarding, image generation and enhancement for attractive, personalized recommendations, and other applications to handle the large amount of visual data in Rakuten’s businesses. We are interested in leveraging techniques to increase efficiency during model training and deployment.

The Vision Program is looking for a research scientist with strong research background in the field of computer vision & machine learning who is motivated to join our team.

The Language program, which is one of our core science programs, aims to automatically create a well-organized product catalog using advanced NLP and ML technologies to generate structured information from unstructured product titles, descriptions, and images. We are also interested in leveraging weakly/semi-supervised and unsupervised techniques to incorporate signals beyond traditional sources, such as customer behavior data, to augment our language understanding. We are looking for research scientists with a strong research background in the NLP field and strong motivation to join the Language program.