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# Staff Machine Learning Engineer (Credit International ML)

- **Company:** Affirm
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $48,000.0 - $72,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Code Review, Cursor, Programming Tools, Distributed Computing Environment, Monitoring of Systems, Python (Programming Language), Machine Learning, Azure Machine Learning, Pytorch, Claude Code, Apache Spark, Deep Learning, Kubernetes, Production Code, Xgboost, Machine Learning Operations
- **Published:** October 30, 2026
- **Apply:** https://job-boards.greenhouse.io/affirm/jobs/8045395003

## About the Role

* 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.

## Description

* 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.