Senior Machine Learning Engineer (research Scientist) - Fraud

Senior Research Scientist in Fraud at Plaid. This role focuses on applied research to develop next-generation fraud detection models using graph machine learning, sequential modeling, and multimodal learning. The scientist will prototype state-of-the-art approaches, design experiments, and translate research into production-ready solutions.

Skills and focus areas

• machine learning
• fraud detection
• graph machine learning
• sequential modeling
• multimodal learning
• experiment design
• model evaluation
• data processing
• feature engineering
• model serving
• model monitoring
• relational graphs