• Design and implement systems that combine rules, models, feature engineering, and business and product inputs into an email detection product. • Identify and recommend new features groups or ML model approaches that can significantly improve detection efficacy for a product. • Understand features that distinguish safe emails from email attacks. • Train models on well-defined datasets to improve model efficacy on specialized attacks • Actively monitor and improve False Positive rates and efficacy rates for our message detection product attack categories.