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

…We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability. Operating…

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

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

…Familiarity with identity and access management standards, protocols, and frameworks. Experience applying artificial intelligence or machine learning to identity, fraud, or risk use cases…

…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…

…This team is part of Okta R&D Engineering. Learn more about Okta’s Engineering on our blog . The Access Frameworks team We build…

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

…detection, prevention, and measurement systems. - Drive technical innovation in fraud detection methodologies, leveraging machine learning, ad forensics and device attestation. - Lead cross-functional teams…

…with engineers and technical teams Ability to prioritize tasks and manage multiple projects simultaneously Willingness to learn - willing to pick up learning new tools…

…Hands-on experience building products that seamlessly blend automation, human review, feedback loops, machine learning, or AI-assisted workflows. Ambiguity to Execution: A demonstrated…

…AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria…

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

…and machine learning research into capabilities that customers can use reliably at scale. You’ll partner closely with data scientists, engineers, product managers, and…

…On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting consumers and merchants while…

…Partner deeply with Engineering and Machine Learning teams to design, build, and interpret performance metrics for scalable risk, fraud, or growth models. Cross-Functional…

…Defines scalable patterns for microservices, data modeling (including spatial/graph), and performance engineering across multiple product areas. Applies in-database analytics and machine learning…

…AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria…

…and data management. Hands-on prototyping experience including machining, shop tools, welding, soldering, and board assembly. Practical experience with electrical engineering tools (Oscilloscopes, power…

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

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

…We are first and foremost a deep-tech company working with machine learning, distributed networking, and sensor fusion. You must have a strong desire…

…who has moved from an AI / Machine Learning Engineer background into model risk, governance, or risk management. You don't need to have trained…

…Machine Learning Engineers here build analytical solutions and think deeply about where they fit into a larger system, staying ahead of fraud and applying…