3 months ago
Remote, CanadaSenior
Base Salary
$153k - $213k/yr
Responsibilities
- Lead development of fraud prediction models using tabular, graph, and behavioral data.
- Build and scale feature pipelines and training datasets from proprietary and third-party signals.
- Prototype modeling ideas, run offline experiments, and move effective approaches into production with appropriate 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.
- Implement foundational improvements to the team’s model development processes.
- Collaborate with Engineering, Fraud Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results.
Requirements
- 6+ years of experience researching, training, tuning, and launching machine learning models at scale; a relevant PhD can count for up to 2 years of experience.
- Track record of delivering high-impact machine learning models in low-latency live settings.
- Strong Python skills and experience writing production-quality code.
- Experience building and evaluating tabular classification models, preferably using gradient-boosted decision trees such as LightGBM, XGBoost, or CatBoost.
- Experience with a deep learning framework, preferably PyTorch.
- Experience with distributed data processing or parallel compute frameworks, preferably 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.
- Ability to design solutions spanning multiple software components and implement clear, well-tested, extensible code.
- Ability to navigate large codebases, debug other engineers’ code, and provide code review feedback.
- Strong verbal and written communication skills for collaboration with global engineering teams.
Benefits
- Remote-first work arrangement in Canada, limited to specified provinces.
- Affirm covers 100% of medical, dental, and vision premiums for employees and dependents.
- Flexible spending wallets with stipends for technology, food, lifestyle, and family-forming expenses.
- Competitive vacation and holiday schedules.
- Employee stock purchase plan with discounted shares.
- Monthly health, wellness, and technology spending stipends may be available.
- 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.