Staff Machine Learning Engineer, Credit International ML

This is a fully remote position, open to applicants in Poland.

📋 Description

• Establish a technical strategy for the team with a year-long perspective.

• Align technical strategies with key projects that significantly impact the business.

• Collaborate with leadership from ML Platform, product, engineering, and risk sectors.

• Develop long-term modeling capabilities to support scalable international growth.

• Define and promote technical solutions and operational workflows.

• Set standards for code reviews and design processes.

• Cultivate a culture centered around quality and accountability.

• Enhance team talent through constructive feedback, guidance, and leading by example.

• Create production-grade machine learning models that influence credit lending decisions across Europe and Australia.

• Anticipate repayment behaviors and refine loan offerings for borrowers.

• Design, execute, and scale sophisticated machine learning solutions.

• Provide mentorship to engineers and contribute to a sustainable machine learning strategy.

⛳️ Requirements

• Over 8 years of experience in researching, designing, deploying, and managing large-scale, real-time machine learning systems; a relevant PhD may account for up to 2 years of experience.

• Proficient in Python with a strong background in writing production-quality code.

• Experienced in building and evaluating models for tabular classification tasks.

• Familiar with gradient-boosted decision trees, such as LightGBM or XGBoost.

• Knowledgeable in deep learning frameworks, including PyTorch.

• Experienced with distributed data processing or parallel computing frameworks like Spark or Ray.

• Familiar with ML lifecycle tools for training orchestration, experimentation, and model monitoring, such as Kubeflow, Airflow, or MLflow.

• Proficient in using AI-driven developer tools such as Claude Code, Codex, or Cursor.

• Strong engineering skills with the ability to provide hands-on technical leadership.

• Excellent verbal and written communication skills to facilitate collaboration with a global engineering team.

🏝️ Benefits

• Equity rewards from Affirm Holdings, Inc.

• Monthly stipends for health, wellness, and technology expenditures.

• Comprehensive medical, dental, and vision coverage fully subsidized for employees and their dependents.

• Flexible spending wallets that can be reimbursed up to 1390 zł monthly for technology and well-being needs.

• Competitive paid time off policies.

• Paid public holidays.

• Additional paid Away Days.

• Extensive private healthcare through Lux Med's Platinum package.

• MultiSport card.

• Opportunities for learning and development programs.

• Family healthcare assistance through Maven.

• Parental leave support provided by Parentaly.

• Mental health support through Lyra, including up to 12 confidential counseling or coaching sessions annually for employees and their household members.

• Financial well-being assistance through Northstar, offering unlimited access to Certified Financial Advisors and planning tools.

• Employee Resource Groups (ERGs).

• Eligibility for creative tax benefits, subject to applicable laws, roles, and company policies.

• Flexibility for remote work.

• Employee stock purchase plan (ESPP) allowing employees to purchase Affirm stock at a discount.

• An inclusive interview process along with disability accommodations.