…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…

…5+ years of industry experience, with a focus on software engineering, applied machine learning, or AI product development. Demonstrated success building and deploying production…

…business, engineering, and operations teams to structure and drive cross-functional engineering, machine learning, and operations initiatives to detect and mitigate fraud, generate revenue…

…on the forensic engine, decisioning logic, and computer vision models. This role sits at the intersection of machine learning, fraud detection, and product decisioning…

…Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a…

…Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques. Strong knowledge of target tracking techniques…

…Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques. Knowledge of target tracking techniques, such…

…engineering team as a whole must span the capabilities of deeply embedded software design, implementation, and debugging, including data protocols, RF communication, machine learning…

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

…Our team sits at the intersection of software engineering, security, and applied machine learning, and we build the services and tooling that enable Amazon…

…Design and develop advanced machine learning (ML) models to detect fraudulent merchant activity and assess payer risk. Engineer graph-based features and embeddings by…

…What you'll need to thrive (Requirements) Familiarity with anomaly detection techniques and machine learning-based risk scoring (a plus, not required) AI at…

…models that power Stripe's fraud detection and loss management systems. You'll work closely with Fraud Engineering and Risk Operations to move models…

…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…

…use, evaluation and testing harnesses, or machine learning infrastructure. Cybersecurity or adjacent experience in areas such as detection and response, security operations, threat intelligence…

Overview Ads Fraud Detection sits at the critical intersection of Security and Machine Learning, defending one of the largest advertising ecosystems in the world…