Senior Staff Machine Learning Engineer, (ML Underwriting)

AffirmAffirm·Remote(Remote US)·Work From Anywhere
AI & Machine Learning
Excel

WFA Digital Insight

As demand for transparent financial services grows, machine learning experts are in high demand. With a 25% increase in ML engineer roles in 2025, Affirm stands out for its commitment to honest credit practices. To succeed in this role, candidates should have a strong foundation in Excel and experience with advanced modeling approaches.

Job Description

About the Role

Affirm is seeking a Senior Staff Machine Learning Engineer to join their innovative ML team. The team is dedicated to revolutionizing financial services with transparency and inclusivity at its core.

Responsibilities

  • Define and drive multi-year technical strategy for machine learning across Affirm
  • Lead the design, implementation, and scaling of advanced ML systems
  • Partner with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities
  • Provide broad technical leadership across the ML organization, mentoring senior engineers and elevating design and code quality

Requirements

  • Experience with machine learning techniques and Excel

How to Stand Out

  • Tip: Develop a strong portfolio showcasing your experience with machine learning techniques and Excel.
  • Be prepared to explain complex modeling approaches in simple terms during interviews.
  • Highlight your ability to drive technical strategy and lead cross-functional teams.
  • Research Affirm's commitment to transparency and be prepared to discuss how your skills align with their mission.
  • Practice explaining your experience with advanced ML systems and how you can contribute to Affirm's growth.

This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.