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Identity Verification

3 weeks ago

Singapore Shopee Full time

DepartmentEngineering and Technology- LevelEntry Level- LocationSingaporeThe Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.

**About the Team**:
**Shopee's Identity Verification team strives to combine cutting edge AI technology with solid engineering and develop high quality, efficient, and reliable eKYC solutions to serve Shopee and SeaMoney businesses.**
- ** Develop CV-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 easy to maintain code**:

- ** Collaborate with business stakeholders, product managers, and engineering team, and get involved in the entire life cycle of our eKYC solutions, from problem formulation, technical design, to implementation, upgrading, and maintenance**

**Requirements**:

- ** Bachelor or above in computer science or relevant majors**:

- ** Proficiency in Python**:

- ** Deep and broad knowledge in computer vision and machine learning models**:

- ** Familar with deep learning frameworks, preferably PyTorch and ONNX**:

- ** Good teamworking spirit, positive attitude, self-driven**:

- ** Good oral and written English, good communication skills**:

- ** Passionate about technologies, fast learner, willing to share**:

- ** (Bonus) publications in computer vision conference and journals**:

- ** (Bonus) familiar with model optimization techniques, eg. pruning, quantization, knowledge distillation**:

- ** (Bonus) internship or working experience in the KYC domain or computer vision