Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidd…
Manager, Machine Learning Engineering (Underwriting)
Skills & Technologies
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.
Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our innovative underwriting machine learning group. Specifically, you will manage a team of ML engineers that builds our economic decisioning engine, using novel ML techniques and rich representations of data to underwrite and optimize applications based on expected returns, lifetime value, and predicted conversion.
In this role, you will help shape the future of machine learning at Affirm. You’ll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company. You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy.
What you’ll do
Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects.
Act as a force-multiplier through your definition and advocacy of technical solutions and operational processes.
Collaborate across teams in the product development lifecycle by partnering with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
Develop talent by providing feedback and guidance, and leading by example.
What We Look For
Bachelors in a technical field with 8+ years of industry experience, including 3+ years managing engineers
Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML.
Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture
You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of
Company & Role Analysis
JobSeeker+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.
£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)