About the Role
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 • Knowledg...
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 • Knowledg...
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