Senior Machine Learning Engineer (Fraud)
Core
Build and improve real-time machine learning systems for fraud detection, balancing fraud loss, customer experience, and conversion for consumers and merchants.
Role type
Senior Machine Learning Engineer (Fraud)
Builds
Real-time transaction decision systems, fraud prediction models, and feature pipelines
Domain
Fintech / Fraud Detection
Deliverable
production ML models
Required skills
Python, tabular classification (gradient-boosted trees), deep learning frameworks, distributed data processing, ML lifecycle tooling, AI-powered developer tools
Preferred skills
Experience with proprietary and third-party signals, retraining/backtesting workflows
Technologies
LightGBM/XGBoost/CatBoost, PyTorch, Spark, Ray/Dask, Kubeflow, Airflow, MLflow
Responsibilities
Lead development of new fraud prediction models using tabular, graph, and behavioral data; build and scale feature pipelines; prototype modeling ideas and drive best-performing approaches to production; integrate models into batch and real-time decision systems; instrument and monitor model and data health; identify and implement foundational improvements to model building processes.
Seniority
Senior, hands-on IC