Affirm

Staff Machine Learning Engineer (Credit International ML)

Remote Poland

Actively hiring, first seen by us 6 days ago

Pay: Pay not listed
Work setting: Remote — work setting source
Listed location: Remote Poland
Read the full posting
Employment: Not stated

What you’ll work on

Full posting

Set the team's year-long technical strategy and tie it to business-impacting projects
Shape long-term modeling capabilities for international expansion with ML Platform and risk leaders
Set code review and design standards to build a culture of quality
Mentor engineers through feedback, guidance and leading by example

From the employer’s posting

setting technical strategy for your team on a year-long time scale

collaborate with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities

by setting code review and design standards

providing feedback and guidance, and leading by example

Education & alternatives

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.

Apply at Affirm

Posting record

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Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 28, 20266 days ago
Recorded sightings: 10
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 6

Similar jobs usually come down between day 6 and day 69.

From 4,301 similar postings that came down. Coming down is not always a hire.

Affirm is hiring

17 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring has slowed
Takes jobs down at a usual pace
6% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
MLflow
Spark
Airflow
LightGBM
PyTorch
XGBoost

Where the posting names them

* 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.

* 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).

* 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).

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View 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.

About the role
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

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.

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.

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