Senior Staff / Principal AI Engineer, Computer Vision

About Us

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.

Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.

OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

Introduction

We are seeking a Senior Staff / Principal AI Engineer to take a key technical leadership role in the design and development of OKX’s in-house Fake ID and document security system.

This is a high-impact, highly technical, and business-critical role. You will lead the 0→1 development of advanced AI models and systems that go beyond traditional vendor capabilities, with a strong focus on physical fake ID detection, document tampering detection, generative attack defense, and cross-user risk intelligence.

You will collaborate closely with Risk, Compliance, Product, and Infrastructure teams to deploy these capabilities into real-money, high-risk production environments, directly supporting OKX’s core business and security objectives.

Responsibilities

• Lead the design, architecture, and delivery of OKX’s in-house Fake ID and document security platform, with a focus on adversarial and batch-based fraud scenarios
• Develop and deploy computer vision models for physical fake ID detection, document tampering identification, and AIGC-generated forgery detection
• Enable cross-user and template-level analysis to identify large-scale and industrialized fraud patterns
• Integrate document intelligence with biometric signals and user risk profiles to support critical risk decisions across key business workflows
• Drive applied research in document security and multimodal AI, and mentor engineers to ensure high-quality, 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 areas such as computer vision, multimodal learning, vision-LLM, or generative image/video modeling
• Strong proficiency in deep learning frameworks such as PyTorch, TensorFlow, and OpenCV
• Excellent analytical, problem-solving, and system-level thinking skills

Preferred Qualifications

• Experience working in fast-paced technology companies or startup environments
• Background in identity verification, KYC/KYB, fraud detection, or biometric security
• Prior experience with document OCR, ID parsing, forgery detection, or media forensics

Perks & Benefits

• Competitive total compensation package
• L&D programs and Education subsidy for employees' growth and development
• Various team building programs and company events
• Wellness and meal allowances
• Comprehensive healthcare schemes for employees and dependants