Staff AI Engineer, Anti-Fraud

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa
About OKX
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 Opportunity
The company’s Anti-Fraud Team leverages advanced blockchain data and AI technologies to protect users and platforms from scams, abuse, and other fraudulent activities. The team develops innovative, scalable solutions that safeguard the integrity of digital ecosystems.The AI Engineer will be responsible for designing and implementing intelligent algorithms to analyze on-chain data, enabling the detection and prevention of fraudulent activities such as scams and reward/campaign abuse. The role requires expertise in transformer models, graph databases, and AI agents to strengthen detection capabilities. The AI Engineer will also lead the deployment of scalable AI services into production, ensuring reliable and real-time fraud detection.
What You’ll Be Doing
Develop and optimize machine learning models, with a focus on transformer-based architectures, tailored for fraud detection in blockchain data.
Interpret and analyze on-chain data to extract meaningful features for building robust anti-fraud algorithms.
Design and implement graph-based approaches using graph databases and graph query languages to identify complex fraud patterns.
Build intelligent agents using LangGraph or similar frameworks to automate detection workflows and decision-making processes.
Deploy and maintain AI services and models in production environments, ensuring scalability, reliability, and high performance.
Collaborate with data engineers, product managers, and software engineers to integrate AI solutions into production workflows.
Research and apply state-of-the-art techniques in fraud detection, blockchain analytics, and AI.
Monitor model and service performance, troubleshoot issues, and implement enhancements in response to evolving fraud tactics.
What We Look For In You
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Proven experience working with on-chain data and a strong understanding of blockchain transaction structures.
Expertise in transformer models (e.g., BERT, GPT) and their practical applications.
Experience with graph databases (e.g., Neo4j, Amazon Neptune) and graph query languages (e.g., Cypher, Gremlin).
Hands-on experience building AI agents, preferably using LangGraph or equivalent frameworks.
Demonstrated success in deploying AI/ML models and services in production environments (e.g., via REST APIs, microservices, or cloud platforms).
Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
Nice to Haves
Familiarity with blockchain ecosystems and smart contract mechanics.
Knowledge of AI techniques in anomaly detection.
Experience with scalable data pipelines and cloud infrastructure (e.g., AWS, GCP).
Strong problem-solving abilities and critical thinking skills in fraud detection scenarios.
Excellent communication skills and ability to work in a collaborative, cross-functional environment.
Perks & Benefits
Competitive total compensation packageL&D programs and Education subsidy for employees' growth and developmentVarious team building programs and company eventsWellness and meal allowancesComprehensive healthcare schemes for employees and dependantsMore that we love to tell you along the process #LI-ML1 #LI-ONSITE
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