Machine Learning Engineering Manager

About

Lead innovative fraud detection efforts at Affirm as a Machine Learning Engineering Manager. You'll guide a talented team to combat fraud while ensuring a seamless customer experience.

As a manager, you will be responsible for shaping the modeling strategy related to fraud detection and coordinating with various teams. Your expertise will guide engineers through the complete machine learning lifecycle, emphasizing advanced modeling approaches like representation learning and transformers. You'll play a vital role in protecting both Affirm and its customers from fraud while continuously improving technical solutions.

Key Responsibilities:

• Set strategy for fraud detection aligned with business goals
• Lead ML engineers in designing high-impact fraud models
• Drive evolution of modeling techniques and behavioral data analysis
• Collaborate effectively with cross-functional teams
• Mentor engineers and cultivate a high-performance team culture

Requirements:

• Bachelor’s degree with 8+ years of relevant experience
• 3+ years of experience managing engineering teams
• Skilled in modern ML approaches and traditional methods
• Proven delivery of end-to-end ML solutions
• Strong cross-functional collaboration abilities

Utilize your leadership and technical skills to shape the future of fraud detection at Affirm.