Description:

Title: Machine Learning Engineer

We are looking for highly motivated software engineers to help build this team. Come join us!

What You’ll Do as a Machine Learning Engineer

• Partner with Data Science and Product engineering teams to build production machine learning models; your models will decide who we lend to in real time, and how we interact with our existing customers
• Develop the core decisioning service supporting our machine learning models in production
• Optimize the decisioning service with respect to the accuracy of the underlying models, the latency of different 3rd party data sources, and the expected financial cost of those data sources
• Develop our understanding of new data sources and how they may improve our existing processes
• Design, develop, and deploy infrastructure for the training, testing, and serving of models at scale
• Work closely with Affirm’s credit, risk, and analytics teams to understand our risk modeling strategy and the business drivers underlying that strategy

What We Look For

• B.S. with 2-3 years of industry experience, M.S. with 1-2 years, or PhD
• Deep understanding and experience with data engineering, data analysis, and statistical modeling, in the development of real-time services
• Proficiency writing production-quality software following software engineering best practices, preferably industry engineering experience with machine learning projects (e.g. recommendation, ranking, optimization)
• Strong foundation in machine learning with experience implementing and optimizing machine learning models
• Hands on experience with Python, Spark, XGBoost, Airflow, and AWS (EC2, EMR, etc.) a plus
• Ability to work efficiently both solo and as part of a team; willingness to learn new things
• Passion and drive to change consumer banking for the better, while developing a deeper understanding of applied machine learning