Lead Machine Learning Engineering for Fraud

Take on a leadership role at Affirm as you manage the Machine Learning Engineering team focusing on fraud detection. This remote position offers a chance to innovate with cutting-edge technologies. As a Lead in Machine Learning Engineering, you will guide a team dedicated to creating robust models that prevent fraud while ensuring a smooth user experience. With over 8 years of industry experience, including 3+ years of management, you’ll set technical strategies and liaise with teams across Product, Risk, and Engineering. You’ll champion the adoption of breakthrough modeling techniques to understand complex customer behaviors better. Key Responsibilities: • Set and align fraud detection strategies with business objectives • Lead the development of high-impact ML models • Embrace advanced ML methods such as representation learning • Collaborate with teams to ensure model implementation effectiveness • Coach and nurture engineering talent within your team Requirements: • Bachelor’s degree and 8+ years of experience • 3+ years managing machine learning teams • Proficient in diverse ML modeling techniques • Proven track record of delivering ML solutions in production • Skilled in cross-functional collaboration and communication Lead the charge in transforming fraud prevention technology at Affirm, enhancing both security for users and effectiveness of credit solutions. #J-18808-Ljbffr