Machine Learning Engineer II – Underwriting ML

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

📋 Description

• Design and refine underwriting prediction models for both tabular and sequential datasets.

• Construct and enhance feature pipelines and training datasets utilizing both proprietary and third-party signals.

• Prototype modeling concepts and features, conduct offline experiments, and transition effective strategies into production while implementing risk controls.

• Deploy models within batch and/or real-time decision-making systems.

• Enhance model reliability, reduce latency, and bolster operational robustness.

• Monitor and assess the health of models and data.

• Assist in defining workflows for retraining and backtesting.

• Collaborate with teams across Engineering, Risk Analytics, Product, and the ML Platform.

• Establish requirements, assess tradeoffs, and convey findings to both technical and non-technical stakeholders.

⛳️ Requirements

• Minimum of 2 years of experience as a machine learning engineer or a PhD in a relevant discipline.

• Proficient in Python with experience in production-level coding.

• Skilled in building and assessing classification models.

• Familiarity with gradient-boosted decision trees such as LightGBM, XGBoost, CatBoost, or similar.

• Experience with a deep learning framework; PyTorch is preferred.

• Knowledge of distributed data processing or parallel computing frameworks; Spark is preferred, along with Ray/Dask or similar.

• Experience with machine learning lifecycle tools for training orchestration, experimentation, and model monitoring, such as Kubeflow, Airflow, or MLflow.

• Proficient in using AI-powered developer tools like Claude Code or Cursor.

• Capability to translate business scenarios into solutions that span multiple software components.

• Strong coding practices that are clear, well-tested, and extensible.

• Ability to navigate large codebases, debug others’ code, and offer feedback during code reviews.

• Excellent verbal and written communication skills.

• Equivalent practical experience or a Bachelor’s degree in a related field.

🏝️ Benefits

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

• Comprehensive medical coverage, including dental and vision, fully subsidized for you and your dependents.

• Health care coverage with all premiums paid for all levels of coverage for you and your dependents.

• Flexible Spending Wallets providing stipends for technology, food, lifestyle needs, and family planning expenses.

• Competitive vacation and holiday allowances.

• Employee Stock Purchase Plan (ESPP) allowing employees to purchase Affirm shares at a discounted rate.

• Reasonable accommodations provided during the hiring process.