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R&D Scientist
Rakuten, Inc.
00000217 Requisition #

Position Summary:
[Introduction of Rakuten Institute of Technology]
Rakuten Institute of Technology is a R&D division of Rakuten group. We create a vision anticipating trends of the world centering on the Internet in the near future, provide critical insights and develop exciting, new business services by focusing on technologies R&D members have strong interest in.
[Apply for our R&D organization]
We are looking for R&D members who are passionate and motivated to develop new technology solutions for expanding Rakuten's services. Successful candidates also demonstrate enthusiasm and possess a commendable work ethic, team spirit, and communication skills.
• Visioning (Think Big):
Formulating a vision of the future about the development of internet services in the next 3 to 5 years
• Prototyping (Small Start):
Inventing prototypes of new application (or system) to prove our vision
• Developing (Scale Fast):
Building technologies for Rakuten's service in the next 1 to 3 years
• To Stores/Users:
Providing services to create new value which any competitor/mall doesn't.
• To Market:
Promoting Rakuten's brand showing our technology capabilities and makes visibility.
• To us (Rakuten):
Solving current issues, speeding up the development of new services, creating benefits and increasing our competitiveness.
• To R&D members:
Making opportunities to demonstrate the great achievements of their study through application to actual service.
R&D Areas:

  • Distributed Computing, Massively Parallel Processing
  • Machine Learning, Deep Learning
  • Computer Vision, Multimedia Processing
  • Networking, Communications
  • Self-Optimizing & Autonomous Systems
  • Physical Automation, Distribution Logistics, IoT
  • Streaming Algorithms, Specialized Programming Languages
  • Information Acquisition & Storage
  • Agriculture Automation, Robotics, Vehicular
  • Data Mining, Text Mining, Web Mining
  • Natural Language Processing
  • Recommender System
  • Semantic Web, Social Graph
  • Financial Engineering, Analysis of Financial Data
  • Statistics
  • Speech Recognition
  • Human Computer Interaction, User Interface
  • Game Technology

Minimum Qualifications:

  • Solid computer programming such as Python, C++, Java or similar
  • Have a M.Sc. or Ph.D. in computer science, electrical engineering, mathematics, physics, or a related field
  • Good communication skills
  • R&D mindset
  • Ability to work in a diverse team as well as autonomously

Preferred Qualifications (subset depending on research area):

  • Unix experience
  • Large-scale system design and software development experience
  • Ability to solve complex problems in unique and inventive ways
  • Ability to sell your work to the business
  • Experience in designing Machine Learning algorithms, working with, and / or applying Machine Learning to solve complex problems
  • Experience with Caffe, Tensorflow, Keras, Hadoop, Spark, etc.
  • Experience in making presentation for high level academic conferences and in publishing high-visibility academic papers

All skills and experience useful for the R&D areas mentioned above