Machine Learning Engineer
Hang- Full Time
- Senior (5 to 8 years)
Candidates should possess proficiency in machine learning, including experience with Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration, with domain knowledge in credit risk being a plus. Strong programming skills in Python and SQL are required, along with experience using large-scale distributed systems such as Spark or Ray, and familiarity with open-source projects like scikit-learn, pandas, NumPy, XGBoost, and Kubeflow. A Bachelor’s degree in a related field, or equivalent practical experience, is also necessary.
As a Machine Learning Engineer, you will develop machine learning models to predict the likelihood of default and make approval or decline decisions, partnering with platform and product engineering teams to build model training, decisioning, and monitoring systems. You will research and develop prototypes to drive the future of credit decisioning, implement and scale data pipelines and algorithms, and collaborate with engineering, credit, and product teams to define requirements for new products. Furthermore, you will present technical concepts and results in an audience-appropriate way, demonstrating persistence, patience, and a strong sense of responsibility.
Provides buy now, pay later financing solutions
Affirm offers point-of-sale financing solutions as an alternative to traditional credit cards. It allows consumers to make purchases and pay over time through installment plans, often without hidden fees or deferred interest. Affirm partners with merchants to integrate its payment solutions into online and in-store shopping experiences, using user-friendly plugins and APIs. The company generates revenue from interest and fees on loans to consumers, as well as fees from merchants for offering its financing options. Affirm also provides a merchant dashboard for transaction processing and promotional tools to help businesses market these financing options effectively. The goal of Affirm is to empower consumers with flexible payment options while providing value to merchants in the e-commerce and retail markets.