Why Join
Rakuten Research

01Vast and exciting data

The Rakuten Group offers a full range of services related to daily life, from shopping and online payment to telecommunications, travel, and finance. The vast amount of diverse data we are able to generate and access makes research at RIT dynamic and exciting.

02Real business-related research

At RIT, your research will be put to real use and exposed to millions people around the world every day.

03One global team

Rakuten has six global offices, but no matter where we are in the world, we share the same challenges and successes as one team.

04Choose the best field for your personal growth

We provide an environment to learn, grow and engage with excellent researchers around the world. Receive guidance from renowned scientist and AI researchers and start exciting conversations with you peers.


4 Results
Senior Research Scientist, Responsible AI – Rakuten Institute of Technology(RIT)
location Tokyo
Engineer Researcher
Full Time

As part of our research at the Rakuten Institute of Technology, Responsible AI is one of the primary focuses. Through collaboration with all AI-related stakeholders, our objective is to enhance the safety, fairness, and transparency of AI within the Rakuten Group. 

Our activities encompass the following:

– Developing guidelines for AI construction and evaluation

– Establishing AI evaluation tools and processes

– Researching on AI safety, fairness, bias, transparency, and explainability

– Educating internal stakeholders about Responsible AI initiatives

Research Scientist – Campaign Science, Rakuten Institute of Technology (RIT)
location Tokyo
Engineer Researcher
Campaign Science Customer Program
Full Time

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.

Senior Research Scientist – Customer Program (Fintech AI), Rakuten Institute of Technology (RIT)
location Tokyo
Engineer Researcher
Customer Program
Full Time

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.

Data Science Engineer – Customer Geo Science Group , Rakuten Institute of Technology Tokyo (RIT)
location Tokyo
Customer Geo Science Group Customer Program
Full Time

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.