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Affirm

Software Engineer II, Backend (ML Platform)

Affirm, Boise, Idaho, United States, 83708

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Affirm . Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The ML Platform team is on a mission to build the core infrastructure that powers Affirm's intelligence. Affirm uses machine learning to assess and approve each BNPL transaction. Affirms ML models answer questions like: is the applicant willing and able to repay this loan? The role of the ML Platform team is to build the compute platform for training and serving all of Affirm's ML models and features. Online, we operate a feature store and model server that enable real-time feature computation and model scoring. Offline, we manage an environment for running large scale model training and data analysis. What You'll Do

With the support of your teams tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the operations and availability of your teams artifacts by creating and monitoring metrics, escalating when needed, and supporting keep the lights on & on-call efforts. You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For

You have a total of 1.5+ years of experience as a software engineer. You have experience designing, developing and launching backend systems and are proficient in one of Python or Kotlin. You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes. You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelors degree in a related field.

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