Machine Learning Engineer

About the Role

Lead innovation in fraud detection as a Machine Learning Engineer at Affirm. Work remotely from Canada, developing systems that protect consumers and merchants alike.

Affirm seeks a seasoned Machine Learning Engineer with over six years of expertise to enhance its Fraud team. In this role, you'll use a variety of data approaches to build and refine machine learning models. Your work will span from ideation to robust production solutions, ensuring both efficiency and effectiveness as fraud patterns shift.

Key Responsibilities

• Design and improve fraud prediction models
• Develop scalable data pipelines and training datasets
• Prototype models and conduct offline experiments
• Integrate models into real-time decision systems
• Define workflows for model health and retraining

Requirements

• 6+ years experience in ML model development
• Strong Python coding skills in production settings
• Experience with tabular classification and deep learning
• Knowledge of distributed frameworks like Spark
• Familiarity with ML lifecycle tools for orchestration

Use your skills to create high-impact machine learning solutions in fraud detection at Affirm.