Senior Machine Learning Engineer
Core
Build and scale machine learning systems for a fraud detection product, focusing on high-performance feature computation, online inference, and observability.
Role type
Senior IC machine learning engineer (fraud detection)
Builds
Production ML systems for fraud detection and prevention
Domain
Financial services / Fraud detection
Deliverable
production ML models
Required skills
Python, PyTorch, Spark, SageMaker, Airflow, ML infrastructure, production deployment, monitoring, reliability engineering, end-to-end project ownership
Preferred skills
Fraud or risk domain experience, graph machine learning
Technologies
PyTorch, Spark, SageMaker, Airflow
Responsibilities
Develop high-performance feature computation and online inference pipelines; build observability, monitoring, and automated debugging capabilities; solve technical challenges in ML, data infrastructure, and production reliability; own and deliver complex end-to-end ML engineering projects
Seniority
Senior, hands-on IC
