Contribute to fraud prevention as a Machine Learning Engineer II with Affirm in a flexible remote setting. Your role centers on safeguarding transactions through advanced machine learning models.
This position calls for candidates with over 2 years experience or a PhD in a relevant field. You will utilize strong Python skills and frameworks to develop innovative solutions for real-time fraud detection. Collaboration across various teams will be essential to keep models robust and responsive as fraud dynamics evolve.
Key Responsibilities:
• Create and refine fraud detection models
• Design feature pipelines utilizing diverse data signals
• Translate new modeling concepts into production
• Oversee health monitoring of models and data
• Collaborate with cross-functional teams for clarity
Requirements:
• Minimum 2 years in machine learning engineering
• Expertise in Python and production-grade code
• Strong experience with tabular classification models
•...