KeyStep

Software Engineer II, Machine Learning (Feature Platform)

Affirm
Remote US
about 1 month ago
full-timeremote

Skills & Technologies

Machine LearningProduct ManagementMakeTraining

Job Description

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.

ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. The two platform teams work closely together to create the ML + Data flywheel that empowers Affirm.

ML Feature Platform’s mission is to: Grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning.

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.

What You'll Do

  • With the support of your team’s 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 team’s artifacts by creating and monitoring metrics, escalating when needed, and supporti

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

Market salary range

£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)

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