Job Overview
Job ID: J36993
Specialized Area: Machine learning
Job Title: Software Engineer - Machine Learning
Location: To Be Discussed Later
Duration: 11 Months
Domain Exposure: To Be Discussed Later
Work Authorization: To Be Discussed Later
Client: To Be Discussed Later
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
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.
Responsibilities:
- 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
- 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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