Production ML Engineer: Real-Time Fraud & Scale

Sift is seeking a Machine Learning Engineer to bridge data science with large-scale distributed systems. You will build end-to-end pipelines that extract signals, train models per merchant, and serve predictions at production scale with low latency.

You will work on an automated ML ecosystem that recalibrates models based on streaming telemetry data, coordinating with Core Infrastructure, Product, and Data Science teams to craft robust algorithms for fraud detection.