Machine Learning Engineer II

Abnormal AI is looking for a Machine Learning Engineer to join the Message Detection - Attack Detection team. The team builds an extremely high recall Detection Engine that can operate on hundreds of millions of messages at milliseconds latency. The role involves designing and implementing systems that combine rules, models, feature engineering, and business and product inputs into an email detection product.

Requirements

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

Benefits

• Bonus
• Restricted stock units (RSUs)
• Benefits