Affirm’s Machine Learning team solves problems critical to our business model - personalizing shopping experiences, detecting fraud, optimizing interest rates, and assessing creditworthiness in real time. Our innovative products necessitate the creation of novel machine learning solutions to drive both existing and new products.

What you'll do

• Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of fraud. These models will protect victims’ identities from being stolen, prevent Affirm from incurring financial loss, and increase the trust that consumers and partners have in the Affirm ecosystem. 
• Partner with the ML platform team to build fraud specific ML infrastructure
• Research ground breaking solutions and develop prototypes that drive the future of fraud decisioning at Affirm
• Implement and scale data pipelines, new features, and algorithms that are essential to our production models
• Collaborate with the engineering, fraud, and product teams to define requirements for new products
• Develop fraud models to maximize user conversion while minimizing fraud losses and data costs.

What we look for

• Bachelors in a technical field with 6+ years of industry experience. Relevant PhD can count for up to 2 YOE.
• Proficiency in machine learning with experience in areas such as gradient boosting, deep learning, graph based modeling, and calibration. Domain knowledge in fraud risk is a plus. 
• Strong programming skills in Python.
• Experience using large scale distributed data processing systems like Spark
• Experience using machine learning frameworks such as scikit-learn, pandas, numpy, xgboost, pytorch, and mllib
• Experience with Kubernetes, Docker, Kafka, Flink, and Airflow is a plus
• 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
• Persistence, patience and a great sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm!