…Microsoft Account from various categories of fraud. We build using a variety of technologies such as machine learning and other cutting-edge service technologies…

…fraud detection, and risk management for millions of Robinhood users. We operate as a cross-functional partner to growth, product, and data engineering—translating…

…Integrate in-database analytics and machine learning to enable personalization, recommendations, or fraud detection. Define service-level objectives and enforce them via performance gates…

…machine learning, with a strong track record of delivering production-grade AI systems at scale. - Significant experience in identity verification, KYC/AML, fraud detection…

…document AI, and fraud prevention. WHAT YOU BRING - Advanced degree (MS/PhD preferred) in Computer Science, Electrical Engineering, Machine Learning, or a related field…

…computer vision, sensor fusion, SLAM, motion planning, machine learning Experience in a senior perception or planning role for the delivery of a robotic system…

…computer vision, sensor fusion, SLAM, motion planning, machine learning Experience in a senior perception or planning role for the delivery of a robotic system…

…Our daily customer engagements include conversations around logistics/supply chain management, fleet maintenance strategies, global asset management, machine control systems/diagnostics, system integration, and…

…technology-forward Senior Manager, Sales Development to join our team in Berlin and build a modern, AI-enabled sales development engine across DACH and…

…or principal engineering roles within innovative, fast-paced environments. Applied fraud detection and governance framework experience. Familiarity with AI, machine learning, and LLMs with…

…of AI and machine learning capabilities within the P2P stack — including intelligent routing, automated approvals, exception identification, and anomaly detection. Define use cases and…

…engines, ecommerce fraud detection and large-scale optimization of fulfillment center operations. As Amazon has rapidly grown and diversified, the opportunity for applying machine…

…trends, regulatory requirements, risk management, fraud detection, customer analytics, and AI-driven innovation. Collaborate closely with Product Management, Engineering, Customer Success, and Consulting teams…

…NICE TO HAVES - Fraud ML or risk engine experience: Familiarity with machine learning-based fraud detection or risk scoring systems. - Event-driven systems: Demonstrated…

…In this role, you will design, build, and own machine learning systems that detect abuse patterns, classify threats, and automate enforcement across sensitive datasets…

…solutions, including invalid traffic detection, prevention, and measurement systems. - Drive technical innovation in fraud detection methodologies, leveraging machine learning, ad forensics and device attestation…

…Deep experience building products in digital advertising, advertiser workflows, ad policy, trust and safety, fraud prevention, abuse detection, risk-based decisioning, or platform integrity…

…BS or MS in Computer Science or other technical degree with 5+ years of experience as an Applied Scientist, Machine Learning Engineer, or similar…

…machine learning models (including ensemble methods, deep learning, transformer architectures and graph-based models) to catch evolving fraud vectors in real time. - Feature Engineering…

…Familiarity with privacy-preserving machine learning techniques. Background in fraud detection, risk modeling, or security-focused machine learning. Familiarity with iOS development. We're…

…payment fraud, refund abuse, fake accounts, spam, listing abuse, social engineering, and platform manipulation - Experience partnering with Data Science and Machine Learning teams to…

…Partner with the data engineering team that builds and maintains the platform. Cross-functional partnership : Work with ML engineers, data scientists, and product managers…

…Billing doesn’t stop when you rate a metering dimension, it extends into areas like Fraud detection and prevention, managing bad debt, and other…

…This role sits within a multidisciplinary risk team of machine learning engineers, data scientists, risk strategy specialists, analytics engineers, product managers, and operations teams…

…experimentation, machine learning, causal inference and scalable intelligence. We partner closely with product, engineering, policy, and operations teams across Trust to detect and defend…