Get roles like this, scored and matched, in your inbox.
Sign up free →Job Opening
Machine Learning Engineer II (ROA + LTV ML)
Affirm · Remote Canada · Posted 20 days ago
Build the credit decisioning models that determine consumer approvals and declines, from prototype through production monitoring, at a fintech with remote Canada roles.
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!
• 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
• 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
• Experience using large scale distributed systems like Spark or Ray
• Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow
• Experience developing machine learning models at scale from inception to business impact
• Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
• The ability to present technical concepts and results in an audience-appropriate way
…
This posting is sourced from Affirm's own career site — applying takes you there directly.
Get roles like this, scored and matched, in your inbox.
Sign up free →Related roles
There are 248 open roles at Affirm right now. This role is one of 84 Machine Learning Engineer openings in Remote and centers on Machine Learning, Generalized Linear Models, Gradient Boosting, and Deep Learning.
Want roles like this found for you?
Set your Focus once. Career Engine screens every new opening every week.
A scored, explained shortlist — not a keyword match — delivered weekly. Free for one profile.