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# Software Engineer II, Machine Learning (Feature Platform)

- **Company:** Affirm
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $146,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Code Review, Software Debugging, Distributed Systems, Python (Programming Language), Machine Learning, MySQL, Data Storage Technologies, Backend, Kotlin, Kubernetes
- **Published:** June 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2a10657af46f04ad

## About the Role

Do you have experience in Writing skills?, * 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.

## Description

As the feature platform team, we own multiple artifacts that in aggregate own the end-to-end flows for features. This includes:

 * Feature creation, exploration, and serving
 * Data storage, availability, and visibility
 * Offline backfilling infrastructure and platform improvements

This scope means your work will have a direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams. Additionally as the primary data source for ML and online decisioning, our platform's performance is critical to Affirm's availability and latency goals.

We're looking for engineers who are passionate about ML enablement and believe that platform level improvements can bring snowball effects across the company.


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