Machine Learning Engineer II

About

Drive impactful fraud solutions at Affirm as a Machine Learning Engineer II. This remote position emphasizes model deployment and real-time decision-making to protect consumers and merchants.

On the ML Fraud team, you will design fraud prediction models that utilize tabular and behavioral data. The role requires building feature pipelines, integrating prototypes into production settings, and establishing robust measurement frameworks. Your strong programming background and experience with parallel computing frameworks will empower your contributions to this mission-driven team.

Responsibilities

• Develop fraud prediction models with various approaches
• Scale feature pipelines from proprietary data
• Execute modeling prototypes and experiments
• Integrate solutions into real-time systems
• Monitor data health and define retraining processes

Requirements

• 2+ years of experience or a PhD in a related field
• Proficient in Python for high-quality coding
• Experience with gradient-boosted decision trees
• Knowledge of deep learning, ideally PyTorch
• Familiar with distributed processing frameworks like Spark

Contribute significantly to fraud prevention by leveraging your expertise and engaging with innovative engineering practices at Affirm.

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