Fraud Data.

Fraud, abuse, trust, and risk MLML platform, feature, and data infrastructure

Fraud / Risk MLMachine Learning Engineer

New York, NY · San Francisco, CA · Seattle, WA

Builds production fraud-detection models, signals, training pipelines, experiments, and monitoring across Plaid’s network.

Public facts last verified 2026-09-25

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