Senior AI / Machine Learning Engineer — Fraud Detection

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About the role

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 • 8+ years building and operating production ML systems, ideally in fraud, abuse, risk, identity, trust & safety, or other adversarial domains. • Solid ML background with practical experience in Python, SQL, and current ML frameworks like PyTorch. • Experience guiding ML systems from feature engineering to production deployment and monitoring. • Strong software/data engineering skills across ML, backend, and data infrastructure. • Experience building with LLMs and/or AI agents, particularly for AI/generation-abuse use cases. • Strong technical judgment, ownership, and ability to solve ambiguous, adversarial problems. • Bachelor's or equivalent experience in Computer Science, Statistics, Mathematics, or related field; advanced degree a plus. Preferred Attributes • Device fingerprinting, identity verification, behavioral signals, network intelligence, or VPN/proxy detection. • Real-time risk evaluation and automated control systems. • Human-in-the-loop or AI-assisted evaluation systems. • Distributed systems and high-scale data pipelines. • Strong adversarial approach — anticipating how attackers adapt to mitigations. Hybrid Work Model: This role follows a hybrid schedule, with a minimum of 3 days per week in the office. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.  Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and communit

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