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Position closed

Data Engineer

Engineering, TLV, Israel, January 16 2020


Viber is a calling and messaging app that connects people–no matter who they are, or where they’re from. With a free and secure connection, over 1 billion users worldwide communicate with their loved ones through high-quality audio and video calls, messaging, and much more

This is a unique opportunity to join a new team and work closely with data scientists to develop and deploy scalable, high throughput production services, machine learning models, tackle challenges in the worlds of spam, computer vision and more.


  • Implement products in a Big Data environment from top to bottom, by gathering requirements, specifying data schemes and developing machine learning processes.
  • Design and apply cutting edge technology stacks in a high throughput environment.
  • Design and implement advanced algorithms in the machine and deep learning frameworks.


  • BSc. in Computer Science or equivalent
  • At least 2 years experience with Python 
  • Experience with Big Data, familiar with Hadoop ecosystem and Spark
  • Good Analytical & Problem Solving Skills 


  • Rest API’s for integrating ML platform
  • 1+ years of strong experience in developing Machine Learning enabled products like recommender systems, fraud detection platforms
  • 1+ years working with Spark/PySpark or similar big data frameworks


At Rakuten Viber, we connect people–no matter who they are, or where they are from. As a communication platform that connects hundreds of millions of people around the world, we know that the way people communicate changes on an almost daily basis. That’s why we dedicate ourselves to providing added value to communication — from private and group chats to audio and video calls to the ability to follow and contact brands, businesses and celebrities. Viber is an all-in-one platform for everything communications-based, and all Viber communications are protected by end-to-end encryption. Viber is part of the Rakuten Group, a world leader in e-commerce and financial services.