The Data Science KYC team is committed to build fully fledged inhouse e-KYC (Know-Your-Customer) solutions for marketplace and financial products in Shopee and SeaMoney. 

Job Description:

  • Design, develop and deploy computer vision models to facilitate the KYC process by providing capabilities in
    • Optical Character Recognition (OCR) for ID cards and other documents
    • Face recognition
    • Liveness Check
    • Forensics-level photo quality and authenticity assessment
  • Design and develop systems to manage eKYC models’ life cycle from the following aspects:
    • Data collection and labelling
    • High performance RESTful APIs for serving eKYC models
    • High performance and secure on-device inference engine 
    • Performance tracking and dashboard 
  • Work cross-functionally with business, product, operation, and engineering teams during the whole life-cycle of eKYC products, from problem formulation, to solution design, implementation, maintenance and improvement.  


  • Minimum Bachelor’s degree from computer science or related disciplines.
  • At least one of the following
    • At least one year of experience in prototyping and/or productionizing eKYC models such as OCR, face recognition, selfie anti-spoofing and liveness check, etc. 
    • At least one year of experience in developing machine learning related web backend services, systems, or platforms
  • Proficient in writing production-level codes in Python, C++ or Java
  • Familiar with modern deep learning framework like TensorFlow, PyTorch and MXNet
  • Experience in building high performance web backend services is a plus
  • Experience in model compression, quantization and protection for on-device inference of machine learning models is a plus
  • Experience in native Android/iOS App development is a plus
  • Self-motivated, independent and fast learner. Teamplayer who loves to share with and learn from others. 

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