About the Team
We sit on the front lines of OKX's security and compliance mission. Our charter is to build the flexible, scalable, and intelligent AI systems that detect and prevent identity fraud, account takeover, and large-scale abuse — in real time and at the scale of a global financial platform. We own the core security AI capabilities that decide, millions of times a day, whether a user is who they claim to be: face and liveness intelligence, document and identity verification, and multimodal risk modeling. We work shoulder-to-shoulder with Product, Risk, Compliance, and Engineering to turn the hardest adversarial problems in crypto into production-grade defenses that protect good users and the open financial system.
We are looking for a Senior Staff AI Engineer to take a technical leadership role in designing, evolving, and owning OKX's core security AI capabilities. This is an end-to-end, research-to-production role: you will set technical direction, own algorithms across multiple high-impact domains, and ship models into real-money, high-risk, large-scale production environments.
You will operate as both a hands-on technical contributor and an applied-science leader — driving complex cross-team initiatives, mentoring senior engineers, and ensuring our AI solutions are robust, efficient, and aligned with company strategy. Your domains span:
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Face intelligence & liveness detection — defenses against presentation attacks, injection attacks, and DeepFakes.
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Image & video quality assessment — reliable, security-critical decisions across diverse devices, environments, and network conditions.
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Document understanding & OCR — identity document parsing and FakeID detection for verification and compliance use cases.
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Multimodal risk & identity intelligence — fusing visual, behavioral, and contextual signals into identity-quality and trust signals.
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AI agents — applying agentic AI to scale investigation, detection, and operational defense.
What You'll Be Doing
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Lead strategic AI initiatives: Drive the end-to-end design, training, and deployment of state-of-the-art deep-learning and multimodal models that scale to millions of users — spanning computer vision, vision-LLM, multimodal fusion, and AI-agent applications.
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Architect scalable models & systems: Build and own production-grade AI pipelines for OCR / text extraction, biometric matching, fraud-pattern recognition, and AIGC generation/detection — engineered for low latency, high availability, and strong reliability.
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Own face intelligence & liveness: Lead anti-spoofing capabilities against presentation, injection, and DeepFake attacks, and develop image/video quality models that keep security decisions reliable in real-world conditions.
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Build identity & trust signals: Leverage user behavior, historical patterns, and cross-modal risk indicators to produce robust identity-quality and trust signals.
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Drive execution & collaboration: Deliver high-quality, measurable results while managing ambiguity and prioritizing technical debt; partner with backend, product, infrastructure, risk, and compliance teams to integrate AI into large-scale systems, and influence stakeholders across technical and non-technical backgrounds.
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Advance applied R&D: Drive experimentation in vision-LLM, multimodal representation learning, and AI agents; stay current with academic and industry advances and translate them into practical, production-ready defenses.
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Elevate the technical bar & mentor: Provide technical guidance and mentorship, set a high engineering standard, and democratize applied-AI best practices across the team and the wider organization.
What We Look For
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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 — including significant experience deploying AI/ML systems into production.
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Deep AI/ML expertise: Strong proficiency with PyTorch and/or TensorFlow, and solid experience with large-scale production ML systems.
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Strong technical & coding skills: Strong coding ability (e.g., Python) and the system-level thinking to design end-to-end AI solutions with high availability and low latency.
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Technical leadership: Demonstrated ability to lead complex, cross-team technical initiatives and deliver impactful AI solutions at scale.
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Strategic communication: Strong communication and leadership skills, with experience influencing technical direction across engineering, product, and leadership teams.
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Mentorship: A proven track record of mentoring senior engineers and raising the technical bar.
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Education: Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field.
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Experience in identity verification, KYC/KYB, AML, fraud detection, biometric security, or media forensics.
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Hands-on experience with OCR, document parsing, fake-ID detection, or document-security systems.
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Familiarity with real-time / low-latency AI systems and large-scale production deployment.
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Knowledge of modern data and AI/ML infrastructure (e.g., Spark, Flink, Kafka, Airflow, Snowflake).
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Familiarity with MLOps best practices — monitoring, retraining, and continuous improvement of production models.
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Experience working in fast-paced technology companies or security-critical environments.
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Research publications, patents, or open-source contributions in relevant AI fields.
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Competitive salary and comprehensive benefits.
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The opportunity to work on mission-critical AI systems protecting a global financial platform.
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A highly collaborative environment with strong ownership and real-world impact.
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The chance to shape OKX's long-term AI security and compliance technology roadmap.
