Staff Applied Machine Learning Engineer - Fraud & Abuse

Cash App Staff Applied Machine Learning Engineer - Fraud & Abuse An Hour AgoSaved Remote or Hybrid 8 Locations 277K-415K Annually Expert/Leader 277K-415K Annually Expert/LeaderBlockchain • Fintech • Mobile • Payments • Software • Financial ServicesDesign, build, and operate production ML decision systems to detect and prevent payment fraud, account takeover, identity abuse, merchant/marketplace risk, scams, and other adversarial activity. Own end-to-end production lifecycle: data contracts, low-latency inference, batch scoring, feature quality, deployment, monitoring, incident response, rollback, and feedback loops. Develop AI-assisted workflows and reusable decision capabilities while partnering with modelers, product, compliance, and operations.Top Skills: Agent-Assisted ToolingCloud InfrastructureCoding AgentsData WarehouseEmbeddingsFeature StoreJavaKafkaKotlinKubernetesLakehouseLightgbmModel-Serving SystemsMonitoringObservabilityPythonPyTorchSQLTensorFlowWorkflow OrchestrationXgboost