Senior Staff / Principal AI Engineer, Computer Vision at OKX

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

11 May, 26

Salary

0.0

Posted On

10 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, AI Engineering, Deep Learning, Multimodal Learning, OCR, Biometric Matching, Fraud Detection, Risk Modeling, Image Quality Assessment, Liveness Detection, AI Agents, Production ML Systems, PyTorch, TensorFlow, Document Understanding, Fake ID Detection

Industry

Financial Services

Description

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE. We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features. About the Opportunity We are looking for a Principal / Senior Staff AI Engineer to take a technical leadership role in designing, evolving, and owning OKX’s core security AI capabilities. This role focuses on end-to-end algorithmic ownership and research-to-production execution across multiple high-impact domains, including: Face intelligence and liveness detection, including presentation attack, injection attack, and DeepFake Image and video quality assessment for security-critical decision making in real-world environments Document understanding, OCR, and FakeID detection for identity verification and compliance use cases Multimodal risk modeling, combining visual, behavioral, and contextual signals to build identity quality and trust signals You will work closely with Product, Risk, Compliance, and Engineering teams to deploy AI systems into real-money, high-risk, large-scale production environments, directly supporting OKX’s core security and compliance objectives. What You’ll Be Doing Design, train, and deploy state-of-the-art deep-learning models for computer vision, multimodal fusion, and AI agent applications. Build and own production-ready AI pipelines for OCR text extraction, biometric matching, fraud pattern recognition, and AIGC-related generation or detection. Lead face intelligence and liveness detection capabilities, including defenses against presentation attacks, injection attacks, and DeepFake. Develop image and video quality assessment models to support reliable security decisions under diverse devices, environments, and network conditions. Build identity quality signals by leveraging user behaviors, historical patterns, and cross-modal risk indicators. Collaborate closely with backend, product, and infrastructure teams to integrate AI solutions into large-scale systems with high availability, low latency, and strong reliability. Drive experimentation and applied R&D in vision-LLM, multimodal representation learning, and AI agents to advance security and compliance capabilities. Stay current with academic and industry advances in deep learning, AI agents, and generative security technologies, and translate them into practical, production-ready solutions. Contribute to internal knowledge sharing and mentorship, setting a high technical bar and guiding engineers in applied AI development best practices. What We Look For In You Bachelor’s degree or higher in Computer Science, Electrical Engineering, or a related field. 8+ years of hands-on experience developing AI/ML solutions in areas such as computer vision, AI agents, multimodal learning, vision-LLM, or generative video/image modeling. Strong proficiency with PyTorch and/or TensorFlow, and solid experience with production ML systems. Strong system-level thinking, analytical skills, and ability to design end-to-end AI solutions. Nice to Haves Experience in identity verification, KYC/KYB, AML, fraud detection, biometric security, or media forensics. Hands-on experience with OCR, document parsing, fake ID detection, or document security systems. Familiarity with real-time or low-latency AI systems and large-scale production deployment. Experience working in fast-paced technology companies or security-critical environments. Research publications, patents, or open-source contributions in relevant AI fields are a plus. 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 More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX's Candidate Privacy Notice.

Responsibilities

The role involves designing, evolving, and owning OKX’s core security AI capabilities, focusing on algorithmic ownership and research-to-production execution. Responsibilities include deploying AI systems for identity verification and compliance, and collaborating with various teams to integrate AI solutions into large-scale systems.