2 months ago
Remote, CanadaMid Level
Base Salary
$133k - $183k/yr
Responsibilities
- Develop and iterate on underwriting prediction models for tabular and sequential data.
- Build and scale feature pipelines and training datasets using proprietary and third-party signals.
- Prototype modeling ideas, run offline experiments, and move effective approaches into production with risk controls.
- Integrate models into batch and real-time decision systems while improving reliability, latency, and operational robustness.
- Instrument and monitor model and data health and help define retraining and backtesting workflows.
- Collaborate with Engineering, Risk Analytics, Product, and ML Platform stakeholders to define requirements, assess tradeoffs, and communicate results.
Requirements
- At least 2 years of experience as a machine learning engineer or a PhD in a relevant field.
- Strong Python skills and experience writing production-quality code.
- Experience building and evaluating classification models, preferably with LightGBM, XGBoost, CatBoost, or similar methods.
- Experience with a deep learning framework, preferably PyTorch.
- Experience with distributed data processing or parallel compute frameworks such as Spark, Ray, or Dask.
- Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring, such as Kubeflow, Airflow, or MLflow.
- Proficiency with AI-powered developer tools such as Claude Code or Cursor.
- Bachelor’s degree in a related field or equivalent practical experience.
- Ability to design solutions spanning multiple software components and write clear, tested, and extensible code.
- Ability to navigate large codebases, debug others’ code, and provide code review feedback.
- Strong verbal and written communication skills.
Benefits
- Remote-first role open to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
- Affirm covers health care premiums for employees and dependents, including medical, dental, and vision coverage.
- Flexible Spending Wallets provide stipends for technology, food, lifestyle needs, and family-forming expenses.
- Competitive vacation and holiday schedules.
- Employee stock purchase plan with discounted shares.
- Monthly stipends may be available for health, wellness, and technology spending.
- Reasonable interview accommodations are available for candidates with disabilities.
Tech Stack
Categories
About Affirm
Affirm provides buy now, pay later installment financing at online and in-store checkout, along with a consumer app and virtual card, for shoppers and merchants. It monetizes through merchant fees and interest on select loans, with no late fees. Founded in 2012 and headquartered in San Francisco, Affirm is a public company listed on NASDAQ that powers payments for thousands of ecommerce retailers.