Machine Learning Engineer II Focused on Fraud Prevention

Protect consumers with Affirm as a remote Machine Learning Engineer II, specializing in fraud detection algorithms. Develop and enhance systems to ensure secure transactions without hidden fees. On the ML Fraud team, you will be tasked with enhancing models for fraud prediction and decision-making.

This role emphasizes collaboration with engineers and stakeholders while utilizing machine learning frameworks, primarily PyTorch. Your expertise will drive the creation and monitoring of effective ML systems, ensuring optimal outcomes in both customer experience and fraud mitigation. Key Responsibilities: • Design and refine models that predict fraud accurately • Scale feature engineering and data pipelines with necessary teams • Test new ideas through offline experiments for model performance • Deploy models into real-time systems improving reliability • Monitor model health to address evolving fraud behavior Requirements: • Minimum 2 years of experience in ML engineering or PhD • Strong proficiency in Python and production-grade coding • Knowledge of tabular classification techniques and deep learning • Familiarity with distributed data processing tools like Spark • Experience with ML tooling for experimentation and monitoring Combine your ML skills with significant operational impact at Affirm. #J-18808-Ljbffr