Staff ML Engineer: Global Credit Lending Leader (Remote)

Affirm, Inc.; United States; Remote; USD 93,000 - 123,000; Full time

Benefits offered by this job

Private healthcare

MultiSport card

Learning and development

Parental leave

Mental well-being support

Employee stock purchase plan

Job summary

Affirm, Inc. is seeking a Staff Machine Learning Engineer to lead the design and deployment of production-grade models powering credit decisions for customers worldwide.

You will shape technical strategy, mentor engineers, and partner with risk, product and engineering teams to scale ML capabilities across Europe and Australia. You will write clean, scalable code in Python, leverage modern ML tools, and own end-to-end ML lifecycle from experimentation to monitoring, with a strong emphasis on

Qualifications

• 8+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems.
• Strong Python skills and production-quality code.
• Experience with tabular classification models (LightGBM/XGBoost) and deep learning (PyTorch).
• Experience with distributed data processing (Spark, Ray).
• Experience with ML lifecycle tooling (Kubeflow, Airflow, MLflow).
• Familiarity with AI-powered developer tools (Claude Code, Codex, Cursor).
• Strong engineering skills and hands-on technical leadership.
• Excellent verbal and written communication for global collaboration.

Responsibilities

• Set technical strategy for your team over a year-long horizon and align with business goals.
• Collaborate with ML Platform, product, engineering, and risk to shape long-term modeling capabilities.
• Define and advocate technical solutions and operational processes to improve quality and delivery.
• Foster code quality and design standards; mentor engineers and lead by example.
• Communicate effectively with global teams to drive impact.

Skills

Python

Production-grade code

Communication

Tools

LightGBM

XGBoost

PyTorch

Spark

Ray

Kubeflow

Airflow

MLflow

Claude Code

Codex

Cursor

Job description

Affirm, Inc. is seeking a Staff Machine Learning Engineer to lead the design and deployment of production-grade models powering credit decisions for customers worldwide.

You will shape technical strategy, mentor engineers, and partner with risk, product and engineering teams to scale ML capabilities across Europe and Australia. You will write clean, scalable code in Python, leverage modern ML tools, and own end-to-end ML lifecycle from experimentation to monitoring, with a strong emphasis on