…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…

…This role sits at the intersection of data evaluation, vendor strategy, and fraud detection. You’ll be the analytical engine behind how we assess…

…We are leveraging our unique position to build advanced, data-driven risk management capabilities to proactively detect and mitigate platform fraud and commercial risk…

…computer science, engineering, data science, or related technical field - Experience working with machine learning or data science teams to build detection and classification systems…

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

…You will have the opportunity to detect fraudulent transactions/vendors by applying machine learning techniques and help Amazon business every day. A day in…

…machine learning threats and mitigation strategies - Experience building or integrating security controls into CI/CD pipelines and AI-assisted development workflows - Experience managing an…

…We build cutting edge machine learning models to detect risk, defenses to deter risky actors, and operations tools that enable investigators worldwide. We define…

…and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitisation to name a few) RESPONSIBILITIES - Manage the entire…

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

…the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns 10+ real-time deep learning models…

…PCI compliance to local banking regulations - Real-time Risk Management: Create sophisticated fraud detection and prevention systems specifically tailored for recurring transaction patterns - Customer…

…for fraud, trust & safety, risk, identity, payments, abuse prevention, or other adversarial domains - 2+ years working with machine learning, AI systems, decision engines, or…

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

…We are first and foremost a technology company, working at the leading edge of capabilities like machine learning, autonomy, distributed networking, and multi-modal…

…Risk Management), ICA International Diploma in Financial Crime Risk, or technical certifications in Machine Learning or Big Data architectures. - Direct experience managing financial crime…

…10+ years applying AI, machine learning, or statistical modeling in decisioning contexts such as credit, risk, fraud, recommendations, or similar domains. Experience with probabilistic…