Senior AI / Machine Learning Engineer — Fraud Prevention

Adobe is looking for a Senior AI/Machine Learning Engineer to enhance fraud and abuse detection systems. The role involves developing high-precision machine learning models for tasks such as anomaly detection and risk scoring. Daily responsibilities include engineering risk signals from various data sources and integrating machine learning features into real-time decision-making systems. Candidates should have over eight years of experience in building and operating production machine learning systems, preferably in areas related to fraud, risk, or safety. A solid foundation in machine learning, along with practical skills in Python, SQL, and frameworks like PyTorch, is essential. The position requires strong software and data engineering capabilities across machine learning and backend systems. Experience with large language models and AI agents is also important. The job is hands-on and involves collaboration with engineering, product, and risk teams to deliver effective solutions. The specific working arrangement is not mentioned in the advert.