Senior Machine Learning Engineer - Fraud
Core
Research and prototype advanced approaches in graph machine learning, sequential modeling, and multimodal learning to build production fraud detection systems.
Role type
Senior Research Scientist / Machine Learning Engineer (Fraud Detection)
Builds
Production-ready fraud detection systems and applied research solutions
Domain
Financial services / Fraud detection / Graph ML / Sequential modeling
Deliverable
production ML models
Required skills
Python, scientific rigor, experimental design, research-to-production transition, graph systems, sequential modeling
Preferred skills
fraud detection, security, risk, abuse prevention, large-scale training, multimodal learning
Technologies
Python
Responsibilities
Design rigorous experiments and evaluation methodologies reflecting real-world fraud dynamics; Partner with ML Engineers and cross-functional teams to translate research into production-ready systems; Publish and communicate applied research findings internally and externally.
Seniority
Senior, hands-on IC with research leadership
