About the Team:
The Shopee Identity Verification team is at the forefront of integrating advanced AI technology with robust engineering to develop top-tier, efficient, and reliable eKYC solutions. These solutions serve both Shopee and SeaMoney businesses.
Job Description:
- Develop computer vision-based identity verification models and services, including:
- IC card and document OCR (Optical Character Recognition
- IC card quality check (on-device and backend)
- IC card anti-spoofing
- Face verification (1 to 1) and matching (1 to N)
- Liveness check / face anti-spoofing
- Write high-quality, elegant, readable, and maintainable code
- Collaborate with business stakeholders, product managers, and engineering teams throughout the entire lifecycle of our eKYC solutions—from problem formulation and technical design to implementation, upgrading, and maintenance
Requirements:
- Bachelor’s degree or higher in computer science or a related field
- At least 2 years of working experience
- Proficiency in Python
- Extensive knowledge of computer vision and machine learning models
- Familiarity with deep learning frameworks, preferably PyTorch and ONNX
- Strong teamwork spirit, positive attitude, and self-driven
- Excellent oral and written communication skills in English
- Passionate about technology, quick learner, and willing to share knowledge
- (Bonus) Publications in computer vision conferences and journals
- (Bonus) Familiarity with model optimization techniques such as pruning, quantization, and knowledge distillation
- (Bonus) Internship or work experience in the KYC domain or computer vision
