Lead the development of machine learning models for credit lending decisions in a remote-first environment.
Posted by employer 1 week ago
First seen on Joblaze 1 week ago
Last verified on the company career page 6 hours ago
Skills & Technologies
What you'll build
- Set technical strategy for the team
- Collaborate with ML Platform and product teams
- Define technical solutions and operational processes
- Mentor engineers
- Shape long-term modeling capabilities
Must have
- 8+ years of experience in machine learning systems
- Strong Python skills
- Experience with tabular classification models
- Experience with distributed data processing frameworks
- Experience with ML lifecycle tooling
AI in the day-to-day
Proficient in using AI-powered developer tools to accelerate the model development lifecycle.
Requirements
- Experience
- 8+ years
- Education
- PhD
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In this role, the Staff Machine Learning Engineer at Affirm focuses on developing and implementing advanced machine learning models that inform credit lending decisions across international markets. Key skills include expertise in Python, experience with large-scale ML systems, and familiarity with tools like Spark and PyTorch. This position is ideal for seasoned professionals with over eight years of relevant experience who can provide technical leadership and mentorship. Affirm's remote-first culture emphasizes collaboration across global teams, enhancing the impact of machine learning on the company's growth.
Joblaze insights
- Listed 9 days ago — first seen on Joblaze October 30, 2026. Last confirmed on Affirm's careers page November 8, 2026.
- Starts above 1% of 230 comparable staff ai/ml roles we track (median $230,000 across 60 companies).
Quick facts
- Is the Staff Machine Learning Engineer (Credit International ML) 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 Staff Machine Learning Engineer (Credit International ML) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Airflow, Kubeflow, LightGBM, MLflow, PyTorch, Python.
- What seniority level is this role?
- Affirm targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Machine Learning Engineer (Credit International ML) 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.
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.
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.