The Role
Design, build, and deploy identity-risk, fraud-detection, behavioral, graph, biometric, and multimodal AI models for real-time financial-platform defenses. Develop graph and clustering methods to identify coordinated fraud, engineer behavioral features and sequence models, integrate verification and device signals, and manage production monitoring, drift, latency, and fraud metrics. Collaborate with product, risk, compliance, infrastructure, and engineering teams while advancing applied AI research and mentoring junior engineers.
Summary Generated by Built In
Who We Are
Perks & Benefits
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.
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 organized abuse — in real time and at the scale of a global financial platform. We own the core identity-risk capabilities that decide, millions of times a day, whether an account can be trusted: identity trust signals, behavioral risk modeling, relationship and cluster intelligence, and face, liveness and document verification. 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.
About the RoleWe are looking for a Senior AI Engineer to design, build, and own key identity-risk and trust models at OKX. You will build models that combine identity verification results, device and geo data, and user behavior into trust and risk signals, and use graph and clustering methods to uncover organized, industrialized fraud. This is an end-to-end, research-to-production role: you will own algorithms in your domain and ship models into real-money, high-risk, large-scale production environments.
You will be a hands-on technical contributor who works closely with Product, Risk, and Compliance, and who helps raise the technical bar of the team. Your domains span:
- Identity trust & risk modeling — fusing verification scores, device, geo, and behavioral data into identity-quality and trust signals.
- Cluster & relationship intelligence — graph and clustering methods to identify account farms, mass registration, and coordinated attacks.
- Behavioral risk modeling — behavioral features and sequence models for account takeover and abnormal-session detection.
- Biometric & multimodal signals — face embeddings, liveness/anti-spoofing, DeepFake and injection defense, document forgery and AIGC detection, used as inputs to identity trust and the risk layer.
- AI agents — applying agentic AI to scale investigation, detection, and operational defense.
- Build identity trust & risk models: Design and ship coarse-to-fine risk models that fuse face/liveness/document verification scores, device, IP and geo signals, and behavioral data, for high-concurrency real-time decisioning.
- Uncover organized fraud with graph & clustering: Build entity graphs across accounts, devices, faces, documents and templates, and apply community detection, clustering, and GNN methods to detect fraud rings and large-scale abuse.
- Develop behavioral features & sequence models: Engineer real-time and offline behavioral features, and build sequence models to detect account takeover, bot/script behavior, and abnormal sessions.
- Leverage biometric & multimodal signals: Turn biometric features (face embeddings, face quality, liveness and anti-spoofing results) and document-forgery and DeepFake signals into reliable identity-trust inputs for risk decisions, including biometric similarity for cross-account linkage and duplicate-identity detection. Work with the face, liveness, and document teams, or build models yourself.
- Drive execution & collaboration: Deliver measurable results while managing ambiguity; partner with backend, product, infrastructure, risk, and compliance teams to integrate models into the production decision chain. Own metric definitions, the balance between false positives and missed fraud, pass rate, monitoring, and drift handling.
- Advance applied R&D: Experiment with graph learning, multimodal fusion, and AI agents; stay current with academic and industry advances and translate them into practical defenses.
- Raise the technical bar: Contribute to design reviews, share applied-AI best practices, and mentor junior engineers.
- 5+ years of hands-on experience building risk-control, fraud-detection, or identity-trust models, including significant experience deploying ML systems into production.
- Graph & clustering expertise: Experience applying graph mining, community detection, clustering, or GNN methods to fraud or abuse detection.
- Behavioral modeling: Solid experience with behavioral feature engineering and sequence modeling, including real-time feature pipelines.
- Deep AI/ML expertise: Strong proficiency with PyTorch and/or TensorFlow, and solid experience with production ML systems.
- Strong technical & coding skills: Strong coding ability (e.g., Python, SQL) and the system-level thinking to design end-to-end solutions with high availability and low latency.
- Adversarial mindset: Understanding of how fraudsters adapt, and how to evaluate and iterate defenses against evolving attacks.
- Collaboration: Strong communication skills, with experience working across engineering, product, and risk teams.
- Education: Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field.
- Experience in identity verification, KYC/KYB, AML, face-payment or payment risk control, or biometric security.
- Hands-on experience with face recognition, liveness/anti-spoofing, OCR, document parsing, fake-ID detection, or media forensics.
- Experience with graph databases or graph computing (e.g., Neo4j, GraphX) and real-time graph features.
- Knowledge of data and AI/ML infrastructure (e.g., Spark, Flink, Kafka, Airflow, Snowflake).
- Familiarity with MLOps best practices: monitoring, retraining, and continuous improvement of production models.
- Experience with LLMs and AI agents.
- Experience working in fast-paced technology companies or security-critical environments.
- Research publications, patents, or open-source contributions in relevant AI fields.
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!
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.
Skills Required
- 5+ years of hands-on experience building risk-control, fraud-detection, or identity-trust models
- Significant experience deploying machine learning systems into production
- Experience applying graph mining, community detection, clustering, or GNN methods to fraud or abuse detection
- Experience with behavioral feature engineering and sequence modeling, including real-time feature pipelines
- Strong proficiency with PyTorch and/or TensorFlow
- Strong coding ability, including Python and SQL
- Ability to design end-to-end solutions with high availability and low latency
- Understanding of evolving fraudster tactics and adversarial defense evaluation
- Strong communication and cross-functional collaboration skills
- Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field
- Experience in identity verification, KYC/KYB, AML, face-payment, payment risk control, or biometric security
- Experience with face recognition, liveness or anti-spoofing, OCR, document parsing, fake-ID detection, or media forensics
- Experience with graph databases or graph computing, such as Neo4j or GraphX
- Knowledge of data and AI/ML infrastructure, such as Spark, Flink, Kafka, Airflow, or Snowflake
- Familiarity with MLOps practices, including monitoring, retraining, and continuous production-model improvement
- Experience with LLMs and AI agents
- Experience in fast-paced technology companies or security-critical environments
- Research publications, patents, or relevant open-source contributions
OKX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about OKX and has not been reviewed or approved by OKX.
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Fair & Transparent Compensation — Pay is considered competitive or above market, especially in engineering, product, and legal roles across major hubs. This positioning is consistently cited as a major attraction for candidates.
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Healthcare Strength — Role descriptions indicate comprehensive medical, dental, vision, life, and disability coverage, with employer-paid premiums in some cases. Health coverage is highlighted alongside core benefits like PTO and parental leave.
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Wellbeing & Lifestyle Benefits — Allowances for education and fitness, meal perks and snacks, team-building budgets, and structured learning programs are described across locations. These extras enhance the total rewards package beyond base pay.
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The Company
What We Do
Founded in 2017, OKX is one of the world’s leading cryptocurrency spot and derivatives exchanges. OKX innovatively adopted blockchain technology to reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 20 million users in over 180 regions globally, OKX strives to provide an engaging platform that empowers every individual to explore the world of crypto. In addition to its world-class DeFi exchange, OKX serves its users with OKX Insights, a research arm that is at the cutting edge of the latest trends in the cryptocurrency industry. With its extensive range of crypto products and services, and unwavering commitment to innovation, OKX’s vision is a world of financial access backed by blockchain and the power of decentralized finance.
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