Staff Applied Machine Learning Engineer - Fraud & Abuse

Block Staff Applied Machine Learning Engineer - Fraud & Abuse Reposted 19 Hours AgoSaved In-Office or Remote 8 Locations 277K-415K Annually Expert/Leader 277K-415K Annually Expert/LeaderBlockchain • eCommerce • Fintech • Payments • Software • Financial Services • CryptocurrencyDesign, build, and operate production ML decision systems to detect and prevent payment fraud, account takeover, scams, and other abuse. Integrate diverse signals into low-latency serving and batch scoring, own feature pipelines and model lifecycle, develop AI-assisted triage and feedback loops, and partner cross-functionally to balance fraud reduction with legitimate customer access.Top Skills: Cloud InfrastructureData LakehouseData WarehouseEmbeddingsFeature StoreJavaKafkaKotlinKubernetesLightgbmModel ServingMonitoringObservabilityPythonPyTorchSQLTensorFlowWorkflow OrchestrationXgboost