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Machine Learning Engineer II (Fraud)

3 weeks, 4 days ago
Canada
Full-time
Junior
Machine Learning Engineer
Artificial Intelligence and Machine Learning
Apache Airflow Apache Spark CatBoost Feature Engineering Kubeflow LightGBM Machine Learning MLflow Python PyTorch XGBoost
Apply Now
Affirm

Affirm

Affirm offers a transparent buy now, pay later service founded in 2012 by Max Levchin. No late fees or surprises, just a responsible way to pay over time for your favorite brands.

Diversified Financial Services
1K-5K
Founded 2012
View All Jobs 158

Description

  • Develop and iterate on fraud prediction models using tabular and behavioral data.
  • Build and scale feature pipelines and training datasets from proprietary and third-party signals.
  • Prototype new modeling ideas, run offline experiments, and productionize the best-performing approaches.
  • Integrate models into batch and/or real-time decision systems with appropriate risk controls.
  • Improve model reliability, latency, and operational robustness in production.
  • Instrument and monitor model and data health as fraud patterns evolve.
  • Define retraining and backtesting workflows to keep models current.
  • Collaborate with Engineering, Fraud Analytics, Product, and ML Platform on requirements, tradeoffs, and results.
  • Communicate findings clearly to both technical and non-technical stakeholders.

Requirements

  • 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 tabular classification models, preferably with LightGBM, XGBoost, CatBoost, or similar gradient-boosted decision trees.
  • 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 orchestration, experimentation, and model monitoring such as Kubeflow, Airflow, or MLflow.
  • Proficiency with AI-powered developer tools such as Claude Code or Cursor, or similar.
  • Ability to design solutions that span multiple software components and implement clear, well-tested, extensible code.
  • Comfort navigating a large codebase, debugging other engineers’ code, and participating in code reviews.
  • Strong verbal and written communication skills for effective collaboration with a global engineering team.

Benefits

  • Base salary range of CAD $125,000 to $175,000 per year.
  • Potential equity rewards through Affirm Holdings, Inc.
  • Monthly stipends for health, wellness, and tech spending.
  • 100% subsidized medical coverage for you and your dependents.
  • Dental and vision coverage for you and your dependents.
  • Remote-first work environment with the ability to work almost anywhere in the country of employment.
  • Competitive vacation and holiday schedules.
  • Employee stock purchase plan with shares available at a discount.

Interested in this position?

Apply directly on the company website

Apply Now

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