Lead a team of ML engineers to develop models for credit lending decisions across Europe and Australia at Affirm.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 5 hours ago
Skills & Technologies
What you'll build
- Set the technical strategy for the team
- Manage projects in the underwriting system
- Collaborate across product development teams
- Mentor engineers
- Define technical solutions and operational processes
Must have
- 8+ years of industry experience
- 3+ years managing engineers
- Background in financial services
- Proficiency in machine learning
- Strong engineering skills
Role intensity
10% coding — mostly leadership/strategy
Requirements
- Experience
- 8+ years
- Education
- Bachelor's degree
Not disclosed in this posting: seniority, visa sponsorship.
Benefits
Joblaze summary
In the role of Machine Learning Engineering Manager at Affirm, the individual will oversee a team focused on developing machine learning models that inform credit lending decisions across various international markets. Key skills include expertise in machine learning techniques, particularly in financial services, along with strong engineering capabilities for hands-on leadership. This position is ideal for someone with significant experience in managing engineering teams and a background in credit or lending. Affirm's remote-first approach fosters flexibility, allowing for a collaborative environment across diverse teams.
Joblaze insights
- Listed yesterday — first seen on Joblaze October 28, 2026. Last confirmed on Affirm's careers page October 30, 2026.
- This exact title is also open at 2 other locations at Affirm: Remote Spain, Remote UK.
- Starts above 4% of 1052 comparable ai/ml roles we track (median $185,613 across 174 companies).
Quick facts
- Is the Manager, Machine Learning Engineering, Checkout role remote?
- Yes — Affirm lists this as a fully remote position.
- What's the salary range?
- Affirm lists PLN 365,000–PLN 485,000 for this role.
- How much experience is required?
- At least 8 years of relevant experience for this Manager, Machine Learning Engineering, Checkout role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Deep Learning, Machine Learning, Transformers, credit, lending, tree-based models.
- Is this full-time or contract?
- Full-time for this Manager, Machine Learning Engineering, Checkout role at Affirm.
From the original posting
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
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 per month.
In addition to your compensation, our comprehensive benefits are designed to support you and the people who matter most. Benefits include:
- Competitive paid time off, paid public holidays, and additional paid Away Days to rest and recharge.
- Comprehensive private healthcare through Lux Med's Platinum package.
- A MultiSport card to support your health and well-being.
- Learning and development programs to help you grow professionally.
- Family healthcare support through Maven and parental leave support through Parentaly.
- Mental well-being support through Lyra, including up to 12 confidential counseling or coaching sessions each year for you and your household members.
- Financial well-being support through Northstar, with unlimited access to Certified.
- Financial Advisors and planning tools at no cost to you.
- Employee Resource Groups (ERGs) that foster connection and inclusion.
- Eligibility for creative tax benefits, subject to applicable law, role, and company policy.
Location - Remote Poland
The majority of our roles can be located anywhere in Poland.
**This job description is not a contractual document, and is not intended to have binding force.**
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
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Standard company text repeated across Affirm's postings is omitted here.