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Machine Learning Engineer (Credit Risk & Decisioning) - Remote Canada
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AI Summary
Develop high-quality, production-ready machine learning models for Affirm's decision-making processes. Partner with engineering teams to build model training, decisioning, and monitoring systems. Requires 2+ years of experience, proficiency in Python, SQL, and large-scale distributed systems.
Key Highlights
Develop machine learning models for credit risk prediction.
Build and scale model training, decisioning, and monitoring systems.
Requires 2+ years of ML engineering experience and strong Python/SQL skills.
Key Responsibilities
Develop machine learning models to predict default likelihood and make approval/decline decisions.
Partner with engineering teams to build model training, decisioning, and monitoring systems.
Research and develop prototypes for credit decisioning.
Implement and scale data pipelines, features, and algorithms for production models.
Collaborate with teams to define new product requirements.
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Technical Skills Required
Benefits & Perks
Health coverage at no cost
Spending stipends
Time off to recharge
Employee stock purchase plan
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Nice to Have
Domain knowledge in credit risk
Job Description
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape. If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you!
What you'll do
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