…5+ years of industry experience, with a focus on software engineering, applied machine learning, or AI product development. Demonstrated success building and deploying production…

…business, engineering, and operations teams to structure and drive cross-functional engineering, machine learning, and operations initiatives to detect and mitigate fraud, generate revenue…

…on the forensic engine, decisioning logic, and computer vision models. This role sits at the intersection of machine learning, fraud detection, and product decisioning…

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

…Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques. Strong knowledge of target tracking techniques…

…Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques. Knowledge of target tracking techniques, such…

…engineering team as a whole must span the capabilities of deeply embedded software design, implementation, and debugging, including data protocols, RF communication, machine learning…

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

…Our team sits at the intersection of software engineering, security, and applied machine learning, and we build the services and tooling that enable Amazon…

…Design and develop advanced machine learning (ML) models to detect fraudulent merchant activity and assess payer risk. Engineer graph-based features and embeddings by…

…What you'll need to thrive (Requirements) Familiarity with anomaly detection techniques and machine learning-based risk scoring (a plus, not required) AI at…

…models that power Stripe's fraud detection and loss management systems. You'll work closely with Fraud Engineering and Risk Operations to move models…

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

…use, evaluation and testing harnesses, or machine learning infrastructure. Cybersecurity or adjacent experience in areas such as detection and response, security operations, threat intelligence…

Overview Ads Fraud Detection sits at the critical intersection of Security and Machine Learning, defending one of the largest advertising ecosystems in the world…

…Build and develop the team — hire, grow, and retain strong engineers and leaders, building on managers and senior ICs already in place across the…

…PREFERRED QUALIFICATIONS - Experience with AML monitoring or fraud detection platforms. - Familiarity with case management and investigation tooling. - Exposure to machine learning or AI-driven…

…machine learning team to improve models by identifying the threat signals that translate into long-term, automated countermeasures. Partner cross-functionally with Product, Engineering…

…Data Science, machine learning or predictive analytics experience. Actively builds AI fluency relevant to BI and analytics work, including prompt engineering for data tasks…

…You are capable of translating complex econometric, statistical and machine learning concepts into clear, actionable, risk-oriented insights for the senior management and the…

…Experience building and deploying large-scale machine learning systems for fraud and abuse or security applications (e.g., fraud prevention or intrusion detection). Advanced…

…scalable, sitting as the connective tissue between Engineering and Accounting/Finance. That means reconciling money movement, detecting and investigating losses, resolving exceptions as they…

…Scientific Innovation & Execution - Design and implement statistical and machine learning solutions to detect robotic and human traffic patterns across billions of daily ad events…

…common fraud prevention techniques, dispute/chargeback management, financial crime risks, and emerging industry trends. AI & Systems Mindset: Direct experience working with machine learning and…

…machine learning capabilities, transforming raw fraud signals into high-performance risk intelligence. Your work will fuel faster innovation and more accurate fraud detection, raising…