Manager, Machine Learning Engineering, Checkout

Affirm, Inc.; Województwo mazowieckie; Remote; PLN 709,000 - 945,000; Full time

Job summary

Affirm, Inc. in Poland (Remote) is seeking a Manager of Machine Learning Engineering for Checkout. You will lead a team of ML engineers building models that power credit lending decisions across Europe and Australia, guiding novel ML techniques and rich data representations to optimize loan offers.

You will partner with product, engineering, risk and design to design, implement, and scale advanced ML solutions, mentor engineers, and shape a cohesive long‑term ML strategy for the company.

Responsibilities

• 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

Job description

Manager, Machine Learning Engineering, Checkout

Remote Poland

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.

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.

What you’ll do

• 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