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 such as tree-based models and deep learning, alongside strong engineering capabilities for hands-on leadership. This position is ideal for someone with significant experience in financial services and a proven track record in managing engineering teams. Affirm's remote-first culture emphasizes flexibility and collaboration across departments.

Joblaze insights

Listed 5 days ago — first seen on Joblaze October 28, 2026. Last confirmed on Affirm's careers page November 2, 2026.
This exact title is also open at 2 other locations at Affirm: Remote Poland, Remote UK.
Starts above 8% of 62 comparable lead ai/ml roles we track (median $193,800 across 35 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 €103,000–€139,000 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, tree-based models.
Does Affirm sponsor work visas for this role?: Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?: Affirm targets lead candidates for this position.
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.
On-Call Rotation - There would be an on-call rotation for this role as a requirement.

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

Compensation & Benefits

Base Pay Grade - P

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).

ESP base pay range per year: €103,000 - €139,000

Additional benefits include:

Flexible Spending Wallets for tech, food and lifestyle
Away Days - wellness days to take off work and recharge
Learning & Development programs
Parental benefit
Employee Resource & Community Groups

We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.

Location - Remote Spain

#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.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Standard company text repeated across Affirm's postings is omitted here.

Manager, Machine Learning Engineering, Checkout

Compensation & Benefits

Similar positions