Senior Machine Learning Engineer - Fraud
Core
Investigate fraud patterns and model errors to identify new signals, improve detection, and expand coverage for fraud prevention.
Role type
Senior IC machine learning engineer (fraud detection)
Builds
Production ML models, training datasets, and predictive features for fraud detection systems
Domain
Financial services / Fraud detection
Deliverable
production ML models
Required skills
Machine learning fundamentals, feature engineering, experiment design, model evaluation, Python, SQL, gradient-boosted trees, neural networks, PyTorch, scikit-learn, XGBoost
Preferred skills
Fraud or risk modeling, delayed feedback handling, graph-based systems, transformers, foundation models
Technologies
PyTorch, scikit-learn, XGBoost, SQL
Responsibilities
Investigate fraud patterns and model errors to identify new signals; Develop training datasets and predictive features; Design, train, tune, and evaluate models including gradient-boosted trees and neural networks; Build reproducible data and training pipelines; Deploy models with Engineering and ML Infrastructure partners; Lead ML projects independently from experimentation through deployment and ongoing improvement
Seniority
Senior, hands-on IC
