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Role overview
Job description
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are looking for a Staff Machine Learning Engineer to be the technical leader building high-quality production-grade models powering credit lending decisions in countries across Europe and in Australia. You will use novel ML techniques and rich data representations to predict repayment behavior and optimize how we offer loans to our borrowers. In this role, you will help shape the future of how machine learning fuels Affirm’s global expansion. 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 lon
…About this listing
- Source: Affirm's official careers site (via Greenhouse) · last confirmed on the source 30 Oct 2026
- Posted 28 Oct 2026
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What they are looking for
Skills & requirements
Qualification
What we look for 8+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems; A relevant PhD can count for up to 2 YOE; For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law
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Hiring company
Affirm
At Affirm, we believe that the financial industry works better for everyone when it’s fair, honest, and inclusive. We help people pay over time for almost anything—with no late fees or surprises. Through advanced technology and analytics that look beyond FICO, we’re able to serve a much broader population than other lenders.
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