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Affirm

Staff Machine Learning Engineer (Credit International ML)

Affirm is hiring a Staff Machine Learning Engineer (Credit International ML) for a remote role open to applicants in Poland. It pays $48k-$72k a year and Level rates it ; you can apply on Affirm.

Level's read on this job

  • Level rates this machine learning engineer role Builds AI ●●●●: the job is building AI systems.
  • This is listed as a remote role.
  • The posting mentions Claude, PyTorch and XGBoost among its tools and skills.
  • Affirm has 241 other open roles on Level.
  • Posted in the last few days.

AI in this role

Build and scale production-grade machine learning models powering international credit lending decisions at Affirm.

claudepytorchxgboostmlflowcursorclaude-codecodexpythonlightgbmsparkraykubeflow+1

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.

We are looking for a Staff Machine Learning Engineer to be the technical leader building high-quality production-grade models powering credit lending decisions in countries across Europe and in Australia. You will use 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 how machine learning fuels Affirm’s global expansion. 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

  • You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
  • You will collaborate with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities needed for scalable international expansion.
  • You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
  • You will foster a culture of quality and ownership on your team by setting code review and design standards.
  • You will help develop talent on your team by providing feedback and guidance, and leading by example.

What we look for

  • 8+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems. A relevant PhD can count for up to 2 YOE.
  • Strong Python skills and experience writing production-quality code.
  • Experience building and evaluating models for tabular classification problems (including gradient-boosted decision trees like LightGBM/XGBoost, and deep learning frameworks like PyTorch).
  • Experience working with distributed data processing or parallel compute frameworks (e.g. Spark, Ray).
  • Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow).
  • Proficient in using AI-powered developer tools (e.g., Claude Code, Codex, Cursor) to accelerate the model development lifecycle.
  • Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture.
  • Strong verbal and written communication skills that support effective collaboration with our global engineering team.

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 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.

Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:

  • Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
  • Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
  • Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
  • Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.

We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.

For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.

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.

How we rate this

Staff Machine Learning Engineer (Credit International ML) at Affirm rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ClaudePyTorchXGBoostMLflowCursorClaude CodeCodexPython

Also common in machine learning engineer jobs at this level

Pay

This job starts at
$48k
Typical machine learning engineer job
$199k

This posting starts 76% below the typical machine learning engineer job. See machine learning engineer jobs

Questions you could be asked

  1. What's a project where you used Claude hands-on?
  2. Walk me through how you've used PyTorch in your day-to-day work.
  3. What are the limits of XGBoost that you've run into, and how did you work around them?
  4. What's a project where you used MLflow hands-on?
  5. Walk me through how you've used Cursor in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Claude, PyTorch, XGBoost, MLflow, and Cursor. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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