Senior Machine Learning Engineer (Research Scientist) - Fraud
Core
Lead applied research to develop next-generation fraud detection models using relational graphs, sequential events, images, and video data for Plaid's financial network.
Role type
Senior Research Scientist (Applied ML)
Builds
Production-ready fraud detection models and solutions
Domain
Financial services / Fraud detection / Graph & Sequential ML
Deliverable
production ML models
Required skills
Graph Neural Networks, Transformer-based foundation models, sequential modeling, multimodal learning, Python, experimental design, research-to-production translation
Preferred skills
Fraud detection, security, risk, abuse prevention, large-scale training, graph systems
Technologies
Graph Neural Networks, Transformers, Python
Responsibilities
Research and prototype state-of-the-art approaches across graph machine learning, sequential modeling, and multimodal learning; Own and execute a research roadmap translating innovative ideas into production solutions; Publish and share applied research; Leverage network-level financial data to develop solutions for consumers
Seniority
Senior, hands-on IC with research leadership
