Manager of Machine Learning Engineering (Repayment & Recovery)

Role Overview

Join Affirm as a Machine Learning Engineering Manager (Repayment & Recovery) to lead a team of ML engineers building post-origination models across the credit lifecycle. You’ll collaborate with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions.

Key Responsibilities

• Manage and lead a team of ML engineers delivering models for:
  • Predicting repayment behavior
  • Personalizing collections
• Own the technical strategy for the team and ensure engineers can connect solutions to business-impacting projects.
• Collaborate across teams throughout the product development lifecycle to maintain technical sustainability and manage risks.

Requirements

• Strong engineering skills with the ability to provide hands-on technical leadership.
• 8+ years of industry experience and a Bachelor’s degree in a technical field (or equivalent practical experience).
• 3+ years managing engineers.
• Proficiency in machine learning, including experience with:
  • Tree-based models
  • Transformers
  • Deep learning
  • Agentic ML
• Ability to operate in ambiguity, moving from low-level code/idioms to system architecture to understand behavior end-to-end.

Nice-to-Haves / Domain

• Background in financial services, specifically credit/lending.
• Hands-on experience in post-origination modeling, such as:
  • Collections, repayment, recovery
  • Loss mitigation
  • Early-warning / behavioral risk