Machine Learning Engineer (ROA + LTV ML)

• 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 strong 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