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Affirm logo

Manager, Machine Learning Engineering, Checkout

Affirm · Remote Poland · Posted 9 days ago

$365k–$485kremotemgr
8+ yrs expMachine LearningTree-based modelsTransformersDeep learningAgentic MLPeople managementTechnical leadershipCredit risk modeling

Set the technical ML strategy for a team building the credit lending models that power loan decisions across Europe and Australia at Affirm.

Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our International Credit Machine Learning group. Specifically, you will manage a team of ML engineers that builds the models powering credit lending decisions in countries across Europe and in Australia. You will lead your team in using 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 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.

  • Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects in our underwriting system
  • 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, and risk to ensure technical sustainability, risks and trade-offs are well understood and managed.
  • Develop talent by providing feedback and guidance, and leading by example.
  • 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.
  • 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 large systems to understand how they work

…

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Related roles

This role is one of 84 Machine Learning Engineer openings in Remote and centers on Machine Learning, People Management, Credit Risk Modeling, and Technical Leadership. There are 248 open roles at Affirm right now.

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