Remote Machine Learning Engineer II

Position: Affirm Remote Machine Learning Engineer II
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

• Knowledgeable in deep learning frameworks

• Familiar with machine learning lifecycle platforms

Drive innovation in machine learning with Affirm, ensuring secure and user-friendly credit solutions.
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