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    Research Scientist - Tokyo, 日本 - Rakuten

    Rakuten
    Rakuten background
    フルタイム
    説明

    Description

    :

    Department Overview

    Rakuten Institute of Technology (RIT) , the core AI research wing of Rakuten, is spread across six geographical locations including Tokyo, Singapore, Boston, San Mateo, Bengaluru, and Paris. This division consists of AI research scientists with specialization in machine learning, deep learning, natural language processing, computer vision, knowledge discovery and data mining.

    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.

    Position:

    Why We Hire

    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.

    Position Details

    Work on research projects in reinforcement learning and bandit algorithm applications.

    Develop state-of-the-art algorithms and implement prototypes.

    Join the discussion on short/middle-term direction of projects while communicating with business, product and engineering team.

    Work with Project Management team to gather business requirements, set evaluation metrics and assess if the solution meets expectations.

    Support engineering teams and product teams to adapt prototypes in production.

    Contribute to the advancement of science via writing papers, attending conferences, and submitting patent proposals.

    Mandatory Qualifications:

    Master's degree in computer science, mathematics, physics or equivalent practical experience.

    Publication record in area of machine learning, reinforcement learning, or have experience of productizing research outcomes in an industry.

    English fluency and ability to communicate effectively with researchers, engineers, and business stakeholders.

    Strong programming experience in one or more of the following: Python, R, Scala, Java, C, C++

    Self-motivated and willingness to take challenges to new technologies, research problems and services

    Strong interest in the application of bandit algorithms or reinforcement learning.

    Desired Qualifications:

    Doctoral degree in computer science, mathematics, physics, or equivalent practical experience.

    Experience in researching and applying bandit algorithms or reinforcement learning.

    Passion for contributing to businesses by applying innovative solutions to real-world problems.

    Development experience in Unix/Linux.

    Experience in distributed computing, such as Spark and Hadoop.



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