# Machine Learning Engineer II (ROA + LTV ML) at Affirm

- Company: Affirm
- Status: Open
- Workplace: Remote
- Location: Remote Canada
- Level: Mid-level
- Discipline: AI & ML
- Employment: Full-time
- Posted: 2026-10-16
- Skills: Checkout
- Apply: https://job-boards.greenhouse.io/affirm/jobs/8033261003

## 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
• 
 Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives
• 
 Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems 
• 
 Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm
• 
 Implement and scale data pipelines, new features, and algorithms that are essential to our production models
• 
 Collaborate with the engineering, credit, and product teams to define requirements for new products
 What we look for
• 
 2+ years of experience as a machine learning engineer or PhD in a relevant field
• 
 Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk is a plus
• 
 Strong engineering skills in Python and data manipulation skills like SQL


More Affirm roles: https://deviantjobs.com/companies/affirm