Machine Learning Engineer
CA$133,000 – CA$183,000 / yr base salary
Posted 16 Oct 2026
Advertised as “Machine Learning Engineer II (ROA + LTV ML)”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- II
- Expected experience
- 2+ yrs
- Management level
- Individual contributor
- Employment
- Remote
| Base salary | CA$133,000 – CA$183,000 / yr |
|---|
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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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
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Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems
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Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm
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Implement and scale data pipelines, new features, and algorithms that are essential to our production models
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Collaborate with the engineering, credit, and product teams to define requirements for new products
What we look for
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2+ years of experience as a machine learning engineer or PhD in a relevant field
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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
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Strong engineering skills in Python and data manipulation skills like SQL
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Experience using large scale distributed systems like Spark or Ray
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Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow
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Experience developing machine learning models at scale from inception to business impact
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Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
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The ability to present technical concepts and results in an audience-appropriate way
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Persistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm!
Pay Grade - L
Equity Grade - 5
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.