Senior AI / Machine Learning Engineer — Fraud Detection

Senior AI / Machine Learning Engineer — Fraud Detection

The Opportunity We are in search of an experienced Senior AI/ML Engineer to develop and broaden fraud and abuse detection systems. You will improve ML techniques in anomaly detection, user/device risk analysis, identity and service abuse, and evolving AI abuse scenarios. This is a hands-on role spanning ML, data, and backend systems, with opportunities to apply LLMs, AI agents, and modern ML techniques to strengthen detection. You will own solutions end to end — from signals and modeling through production deployment and real-time decisioning. Join us in crafting best in class fraud detection systems that will make a significant impact! What you'll Do

• Build and deploy high-precision ML models for fraud and abuse detection, anomaly detection, and risk scoring.
• Engineer risk signals from large-scale account, device, network, behavioral, velocity, and session data.
• Integrate ML/AI features into real-time risk decisioning and automated enforcement systems.
• Apply LLMs and AI agents to expand detection, investigation, and classification capabilities.
• Translate emerging attack patterns and relevant research into new models, signals, and mitigations.
• Evaluate solutions across accuracy, latency, cost, and customer impact.
• Own model evaluation, monitoring, and drift as attacker behavior evolves.
• Partner across engineering, product, and risk teams to ship production-ready capabilities.

What you'll need to succeed

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