Software Engineer - Machine Learning

Company: Cloud Analytics Technologies, LLC
Location: San Francisco
Posted on: June 1, 2025

Job Description:

Job OverviewJob ID: J36993Specialized Area: Machine learningJob Title: Software Engineer - Machine LearningLocation: To Be Discussed LaterDuration: 11 MonthsDomain Exposure: To Be Discussed LaterWork Authorization: To Be Discussed LaterClient: To Be Discussed LaterEmployment 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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Keywords: Cloud Analytics Technologies, LLC, Woodland , Software Engineer - Machine Learning, IT / Software / Systems , San Francisco, California