Manager of Machine Learning Engineering (Repayment & Recovery)

Join Affirm as a Machine Learning Engineering Manager and lead a team of ML engineers in building models for the post-origination side of the credit lifecycle. You will shape the future of machine learning at Affirm, collaborating with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions. This remote-first position offers a competitive compensation package, generous time off, health benefits, and opportunities for learning and development.

• Manage a team of ML engineers to build models for predicting repayment behavior and personalizing collections.
• Set the technical strategy for the team and help engineers tie it together with critical business-impacting projects.
• Collaborate across teams in the product development lifecycle to ensure technical sustainability and manage risks.
• Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture
• This position requires either equivalent practical experience or a Bachelor's degree in a related field
• Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML
• You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work
• Bachelor's in a technical field with 8+ years of industry experience, including 3+ years managing engineers
• A background in financial services, specifically in credit / lending, with hands-on experience in post-origination modeling — collections, repayment, recovery, loss mitigation, early-warning or behavioural risk, or similar