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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 “Senior Machine Learning Engineer (Fraud)”. A match may be a passing mention rather than the job itself. Titles only.
22 roles across 25 listings · show every listing
…We are looking for talented and self-motivated Senior Software Engineers who are passionate about working in this highly dynamic domain and collaborating with…
…Accelerate both engineering and non-technical workflows. Design, implement, deploy and maintain production machine learning models for the design and analysis of nuclear systems…
…for marketing technology, incorporate machine learning signals into customer journeys, and present regular product updates to Growth and senior leadership stakeholders. - Utilize Project Management…
…THE ROLE As an Senior Product Counsel (Data Products, Machine Learning, and AI), you'll play a pivotal role as the go-to legal…
…Block's machine learning systems monitor billions of payment transactions across traditional payment and blockchain networks and surface suspicious activity (fraudulent, suspicious, illegal activity…
…Experience in rapid prototype development and fielding Exposure to robot autonomy, machine learning, sensor fusion, data analytics Demonstrated interest in national security issues and…
…ABOUT THE JOB We are looking for a founding Staff AI Infrastructure Engineer to architect, build, and scale the end-to-end machine learning…
…environments Experience with statistical modeling, time-series forecasting, simulation, and/or machine learning techniques as applied to finance and analytics use cases BS, MS…
…of balancing customer experience with risk mitigation Experience in experimentation, machine learning, fraud detection, marketplace integrity, or trust and safety is advantageous but not…
…fraud prevention, transaction risk, payment risk, account security or related risk domains. Experience designing model policies, evaluation metrics and strategy iterations for machine learning…
…In this role, you will design, build, and deploy machine learning models and analytical frameworks that drive credit risk assessment, income estimation, fraud detection…
…Robotics, Electrical Engineering, Machine Learning, or a related technical field 5+ years of experience developing computer vision, perception, or machine learning systems in production…
…AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria…
…Preferred Qualifications - Experience with AML monitoring or fraud detection platforms. - Familiarity with case management and investigation tooling. - Exposure to machine learning or AI-driven…
…access management standards, protocols, and frameworks Understanding of applying machine learning techniques to identity, fraud, or risk use cases Awareness of graph-based data…
…Standardize and unite regional operational processes for vetting identification and eligibility documents using advanced technology capabilities such as automation, machine learning, and workflow management…
…Preferred Qualifications Experience with AI, GenAI, machine learning models, automation, decision engines, or model-enabled workflows in scaled operational or platform environments. Familiarity with…
…machine learning, and infrastructure, and will have opportunities to learn from and contribute to projects across the company - Mentor and learn from other engineers…
…tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will…
…machine learning models, specifically applied to the credit cycle, fraud prevention or related decision-making processes. - Data Science skills, with knowledge of machine learning…
…Background in machine learning as applied to planning and decision-making, including reinforcement learning, learned heuristics, and behavior prediction. Ability to engineer robust systems…
…Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques. Ability to engineer robust systems for…