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

…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…

…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 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…

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

…The Data department at Melio collaborates with colleagues from various disciplines—Research Engineers, Analysts, and other Data Scientists—on statistical methods and machine learning…

…technology companies Expertise in fraud detection methodologies, machine learning models, and rule-based engines Experience with fraud detection rule engines and scoring models Track…

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

…Our Machine Learning Scientists work on a range of problems within the different financial crime areas ranging from fraud detection and prevention, transaction monitoring…

…You will partner closely with Science, Engineering, Portfolio Management, Operations, and business teams across multiple organizations to deliver transformational credit and fraud capabilities. This…

…Machine Learning is at the heart of Lyft’s products and decision-making. Machine Learning Engineers at Lyft operate in dynamic environments, moving quickly…

…Partnering with Fraud Operations, Data Science, Engineering, Product, and Model Risk Management, you will deliver measurable fraud-loss reduction while preserving an excellent customer…

…prompt injection attacks, agent intent anomalies, and rogue agent detection. Product Management Experience: 5-8 years of experience in Product Management, whether from startup…