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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Machine Learning Engineering Manager - Fraud Detection”. A match may be a passing mention rather than the job itself. Titles only.
162 roles across 195 listings · show every listing · page 5 of 7
…and fraud business metrics, such as provisioning approval and step-up rates, fraud rate, and account takeover Working knowledge of how machine learning is…
…Technology group, we build the detection systems (machine learning, and increasingly agentic AI) that defend Amazon against theft, fraud, abuse, and waste across the…
…Reporting to our safety Group Product Manager, you'll create the vision, build the systems, and lead the cross-functional strategy that detects and…
…Actively leading the design, building, and deployment of critical Machine Learning and Gen-AI models for identifying, classifying, and preventing risks and fraud. Technical…
…The Role As a Staff Applied Machine Learning Engineer focused on Fraud & Abuse, you will design, build, and operate production ML decision systems that…
…Technology group, we build the detection systems (machine learning, and increasingly agentic AI) that defend Amazon against theft, fraud, abuse, and waste across the…
…or customer trust processes without turning engineering into a compliance machine - Have built security observability, alerting, detection pipelines, or incident response workflows - Have worked…
…Working knowledge of machine learning and applied statistics for operations use cases (time series forecasting, supervised/unsupervised methods, feature engineering). Familiarity with data wrangling…
…to enhance fraud detection and next-generation risk prevention systems. Key job responsibilities Own end-to-end development of machine learning models for large…
…What you’ll do As a machine learning engineer for Stripe Capital, you'll be responsible for designing, building, training, evaluating, deploying, and owning…
…tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will…
…the technology industry in software engineering, data science/machine learning, developer relations, technical partnerships, solutions architect, product management including 3+ years of direct hands…
…The AIT team owns designing and building high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust…
…This role requires managing and delivering complex, cross-functional risk projects in partnership with Product, Engineering, Risk and Compliance teams. This hybrid role is…
…tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will…
…Apply analytics and machine learning approaches to model malicious behavior, improve detection accuracy, and reduce false positives. Strengthen platform defenses through rate limiting, automated…
…PREFERRED QUALIFICATIONS - Experience with AML monitoring or fraud detection platforms. - Familiarity with case management and investigation tooling. - Exposure to machine learning or AI-driven…
…In-depth knowledge of risk management strategies and fraud detection techniques, particularly within financial and fintech industries. 2. Familiarity with graph databases and the…
…Intelligence Engineers and Applied Scientist rolling under the core Buyer Risk Prevention Machine Learning Team. We evaluate instances of organized buyer fraud attacks on…
…concepts to diverse audiences including engineers, program managers, and customers PREFERRED QUALIFICATIONS Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related…
…Our daily customer engagements include conversations around logistics/supply chain management, fleet maintenance strategies, global asset management, machine control systems/diagnostics, system integration, and…
…Our daily customer engagements include conversations around logistics/supply chain management, fleet maintenance strategies, global asset management, machine control systems/diagnostics, system integration, and…
…development, and evaluation of machine learning, statistical, and graph-based algorithms for entity-resolution, identity trust scoring, and anomaly detection on massive datasets. - Architect…
…In this role, you will define the technical and modeling strategy for fraud detection, guiding the team across the full machine learning lifecycle from…
…STAYING SAFE - PROTECT YOURSELF FROM RECRUITMENT FRAUD We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers…