Staff Machine Learning Engineer, Fraud & Abuse
¿Es esta oferta para usted?
Crear mi CV Cree su CV y descubra su porcentaje de coincidencia con este puesto — y con todos los demás.
El puesto
Lead the design, development, and scaling of real-time and batch ML systems for fraud and abuse detection.
Build and maintain data pipelines and APIs to support ML model inference at scale.
Collaborate with product and engineering teams to define data models and feature store enrichments.
Integrate diverse internal and third-party data sources to enhance feature store and modeling capabilities.
Ensure data quality through automated validation, monitoring, and alerting; develop new triggers and risk signals.
Drive experimentation, SEV readiness, and downstream integration of risk decisions, applying ML and engineering best practices to ML-platform solutions.
Build and maintain data pipelines and APIs to support ML model inference at scale.
Collaborate with product and engineering teams to define data models and feature store enrichments.
Integrate diverse internal and third-party data sources to enhance feature store and modeling capabilities.
Ensure data quality through automated validation, monitoring, and alerting; develop new triggers and risk signals.
Drive experimentation, SEV readiness, and downstream integration of risk decisions, applying ML and engineering best practices to ML-platform solutions.
Ver la oferta completa
Funciones, perfil, competencias y ventajas — crea tu cuenta gratis.
o
¿Ya tiene una cuenta?
Iniciar sesiónOfertas similares
Otros puestos que podrían encajar.
? Staff Machine Learning Engineer, Monetization & Decision Systems ? Staff Machine Learning Engineer, Predictive Systems ? Staff Machine Learning Engineer (Modeling), Afterpay Risk ? Staff Machine Learning Engineer ? Staff Machine Learning Engineer (India based, relocation provided) ? Senior Staff Machine Learning Engineer, Ads Targeting and Retrieval