6 months ago
Hong Kong, Hong KongStaff+
Responsibilities
- Lead the architecture and delivery of OKX’s in-house fake ID and document security platform
- Develop and deploy computer vision models for physical fake ID detection, document tampering identification, and AIGC-generated forgery detection
- Perform cross-user and template-level analysis to identify large-scale and industrialized fraud patterns
- Integrate document intelligence with biometric signals and user risk profiles for critical business workflows
- Drive applied research in document security and multimodal AI
- Mentor engineers and ensure production-grade AI systems
Requirements
- Bachelor’s degree or higher in Computer Science, Electrical Engineering, or a related field with a strong focus on computer vision, deep learning, and multimodal AI
- 8+ years of hands-on experience building AI/ML systems in computer vision, multimodal learning, vision-LLM, or generative image/video modeling
- Strong proficiency with PyTorch, TensorFlow, and OpenCV
- Experience in identity verification, KYC/KYB, fraud detection, biometric security, document OCR, ID parsing, forgery detection, or media forensics is preferred
- Experience in fast-paced technology companies or startup environments is preferred
Benefits
- Learning and development programs and an education subsidy
- Team-building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare coverage for employees and dependents
Tech Stack
Categories
About OKX
OKX builds a global cryptocurrency exchange and Web3 wallet used by retail and institutional traders for spot, derivatives, and DeFi access, with developer APIs. Its business model centers on trading and financing fees, plus wallet and on-chain services. Founded in 2017 and privately held, OKX publishes monthly proof-of-reserves and operates as part of the OKG group serving crypto markets worldwide.