Affirm Fraud Machine Learning Engineer Oshawa

Join Affirm as a Machine Learning Engineer II focusing on fraud mitigation strategies, all in a remote workplace. Enhance transaction safety through creative machine learning solutions. As part of the ML Fraud team, you will possess a minimum of 2 years’ experience or a relevant PhD. Your expertise in Python, model evaluation, and production systems will be crucial. The position emphasizes working together with data teams while maintaining model performance and reliability through ongoing monitoring. Key Responsibilities: • Develop advanced fraud prediction models effectively • Scale feature pipelines using third-party signals • Prototype current modeling ideas for better impact • Integrate models into real-time decision systems • Define monitoring and retraining workflows Requirements: • 2+ years as a machine learning engineer or PhD equivalent • Proficient in production-quality Python code • Experience with gradient-boosted decision trees • Competence with distributed data processing • Familiar with ML lifecycle tools like Kubeflow Leverage your skills in Python and machine learning at Affirm, focusing on fraud prevention and consumer protection. J-18808-Ljbffr Apply on Kit Job: kitjob.ca/job/2ojamy