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
Benefits Compensation: We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family
Spending Wallets: Access tech, food, lifestyle, and family planning wallets for your expenses
Supportive Communities: Get involved with our employee resource groups and community groups
Remote-first Workforce: If your role is remote, you can set up shop anywhere in your home country
Generous Time Off: Take the time you need when life happens
Health Benefits: Get a plan that fits your needs
Mental Healthcare: Take care of your mind with great mental health programs
Parental Leave: Birth and non-birth parents get 18 weeks’ paid leave. Plus,



a 4-week return-to-work transition program, at full base pay
Away Days: We offer 20 company-wide paid days off—these help our teams collectively pause to recharge
Learning & Development: Engage in exciting learning programs to level up your growth
2+ years of experience as a machine learning engineer or PhD in a relevant fieldExperience developing machine learning models at scale from inception to business impactProficiency 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 plusExperience using large scale distributed systems like Spark or RayPersistence, patience and a robust sense of responsibility – we build the decision making that enables consumers and partners to place their trust in affirm!Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, KubeflowThe ability to present technical concepts and results in an audience-appropriate wayStrong engineering skills in Python and data manipulation skills like SQLExcellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams

#J-18808-Ljbffr

📌 Machine Learning Engineer (ROA + LTV ML) (Quebec City)
🏢 Affirm
📍 Quebec City