AI Technologies LLC.
Software Engineer - Machine Learning
AI Technologies LLC., San Francisco, California, United States, 94199
Job OverviewJob ID: J36993Specialized Area: Machine learningJob Title: Software Engineer - Machine LearningLocation: To Be Discussed LaterDuration: 11 MonthsDomain Exposure: Work Authorization: Client: 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 customersDevelop the core decisioning service supporting our machine learning models in productionOptimize 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 sourcesDevelop our understanding of new data sources and how they may improve our existing processesWork closely with Affirm’s credit, risk, and analytics teams to understand our risk modeling strategy and the business drivers underlying that strategyDeep understanding and experience with data engineering, data analysis, and statistical modeling, in the development of a real-time serviceStrong 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 thingsPassion and drive to change consumer banking for the better, while developing a deeper understanding of applied machine learning
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Build production machine learning models; your models will decide who we lend to in real time, and how we interact with our existing customersDevelop the core decisioning service supporting our machine learning models in productionOptimize 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 sourcesDevelop our understanding of new data sources and how they may improve our existing processesWork closely with Affirm’s credit, risk, and analytics teams to understand our risk modeling strategy and the business drivers underlying that strategyDeep understanding and experience with data engineering, data analysis, and statistical modeling, in the development of a real-time serviceStrong 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 thingsPassion and drive to change consumer banking for the better, while developing a deeper understanding of applied machine learning
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