Manager, Machine Learning Engineering, Checkout

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 talent by providing feedback and guidance, and leading by example.

What We Look For

• 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

Total rewards

We believe the people building honest financial products at Affirm should share in its success. That's why our total rewards are designed to support your health, growth, financial well-being, and future.

In service of our mission, we reward employees through a combination of base pay, equity (from parent company), and comprehensive benefits.

Base Pay Grade - P

365,000 zł  -  485,000 zł   

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. 

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).  

Base pay ranges and placement within those ranges are determined based on several factors, including role, experience, and job-related skills.

In addition to base pay, all employees in this role are eligible to receive equity from the parent company each year. This means as Affirm’s parent company grows, employees have the opportunity to share in that growth financially.

Equity Grade - 5 (awarded in US Dollars)

Affirm Holdings, Inc. Equity Grade example

Equity grade: 5 New hire equity: $48,000-$72,000 Annual Refresh: $15,000 Reward equity: $0-$225,000

Affirm also provides flexible spending wallets to all employees for technology and wellbeing related needs, which are reimbursable up to 1390 zł p