…Minimum requirements At least 3 years of engineering management experience Prior experience as a Machine Learning Engineer or equivalent Preferred qualifications You have managed…

…that reasoning legible to the rest of the company. - Detection & the risk engine: The machinery. You will select and deploy the tooling — vendor, in…

…Working closely with data scientists, product managers and other XFN partners to build business insights, develop product features and respond to fraud attacks and…

…We develop detections through training machine learning models, using threat intelligence signals as input, aggregated across entire Internet. We build state of the art…

…a Machine Learning Engineer, Data Scientist, or Applied Scientist. You have 3+ years of experience as an Engineering Manager and successfully managed a team…

…detect fraudsters, using rules and connecting to productionalized machine learning models. Work collaboratively with cross-functional partners including machine learning engineers, product managers, operations…

…Block's machine learning systems monitor billions of payment transactions across traditional payment and blockchain networks and surface suspicious activity (fraudulent, suspicious, illegal activity…

…Responsibilities Program Management - you partner with capture, growth, and engineering leads to shepherd emerging proposals into successful programs for the business line’s most…

…ABOUT THE JOB We are looking for a founding Staff AI Infrastructure Engineer to architect, build, and scale the end-to-end machine learning…

…of balancing customer experience with risk mitigation Experience in experimentation, machine learning, fraud detection, marketplace integrity, or trust and safety is advantageous but not…

…Science, Artificial Intelligence, Engineering, Mathematics or a related discipline. 5+ years of experience in Risk Strategy, Fraud Detection, Risk Product Management, Trust & Safety or…

…In this role, you will design, build, and deploy machine learning models and analytical frameworks that drive credit risk assessment, income estimation, fraud detection…

…Preferred Qualifications - Experience with AML monitoring or fraud detection platforms. - Familiarity with case management and investigation tooling. - Exposure to machine learning or AI-driven…

…Preferred Qualifications Experience with AI, GenAI, machine learning models, automation, decision engines, or model-enabled workflows in scaled operational or platform environments. Familiarity with…

…tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will…

…fraud prevention platforms — spanning machine learning, graph intelligence, and MLOps. You will partner with Data Science, Engineering, Fraud Operations, and Model Risk Management to…

…integrity, spam, fraud, or abuse detection and mitigation Experience building trust and safety detection and intervention mechanisms for AI or machine learning systems Experience…

…product managers, data scientists, and front line defense teams. Design, build, and productionize end-to-end Machine Learning pipelines — including feature engineering, model training…

…PhD in Statistics, Mathematics, Machine Learning, or a related quantitative discipline. Advanced expertise in graph-based coordination or Sybil network detection methods for complex…

…You will work closely with engineering, product, fraud analysts, and business partners to build scalable platform capabilities that improve fraud detection and case management…

…Experience in financial services, sponsor banks, financial regulations, identity fraud, KYC, consumer watchlists, DocV technologies, or supporting machine learning-based product offerings. Experience working…

…You will work closely with engineering, product, fraud analysts, and business partners to build scalable platform capabilities that improve fraud detection and case management…

…measure performance by product teams; Quantitative modeling including machine learning models, time-series forecasting, or casual impact analyses; Experience in risk, fraud, or payments.

…measure performance by product teams; Quantitative modeling including machine learning models, time-series forecasting, or casual impact analyses; Experience in risk, fraud, or payments.

…You will work closely with engineering, product, fraud analysts, and business partners to build scalable platform capabilities that improve fraud detection and case management…