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.

Requirements

  • 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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