Software Engineer - Machine Learning
🇺🇸 United States › California › San Francisco (Posted Sep 12 2018)
About the company
Affirm is reinventing credit to make it more honest and friendly. Started by PayPal co-founder Max Levchin, Affirm gives consumers the flexibility to buy now and make simple monthly payments. Unlike other credit options, Affirm offers transparent payment terms (no fees or compounding interest), and employs advanced technology to reach a broader consumer population
Affirm is a data-driven financial technology company. Data is core to our decision making processes, from validating identities and detecting fraud, to credit underwriting and servicing. We seek to revolutionize the credit system by building more holistic, accurate, and democratic alternatives to incumbent systems and methods.
Machine learning is a critical tool in this effort, and as a member of the software engineering team, you will work on building, optimizing, and supporting these machine learning systems both offline and real time.
WHAT YOU'LL DO
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
Work closely with Affirm’s credit, risk, and analytics teams to understand our risk modeling strategy and the business drivers underlying that strategy
Skills & requirements
WHAT WE LOOK FOR
Deep understanding and experience with data engineering, data analysis, and statistical modeling, in the development of a real-time service
Strong proficiency writing production-quality code, preferably industry engineering experience with machine learning projects (e.g. recommendation, ranking, optimization)
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
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