Our recommender system team is responsible for building and owning the Shopee recommender engine to provide our users with the best e-commerce experience. In our Team, you’ll have the opportunity to build full-stack large scaled deep learning systems, and combining information technology with modern machine learning methods from related fields. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

Job Description

  • Participate in the design of the machine learning large-scaled training framework, inference system.
  • Improve and optimize multiple application methods such as sample management, feature preprocessing, feature management, prediction, and vector based recall. 
  • Participate in the basic recommendation algorithm framework, including but not limited to online service, traffic scheduling, disaster tolerance, overload protection, degradation, resource management, efficiency tool implementation and many other infrastructures.


  • Proficiency in C++/Java/python programming
  • Solid basic knowledge of network, operating system, data structure, and compilation principles
  • Experience in TensorFlow framework development and optimization is preferred
  • Familiar with basic machine learning algorithms is preferred

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