Machine Learning Engineer II to join the Message Detection - Attack Detection team, focusing on building a high-recall detection engine for cybersecurity threats. The role involves designing and implementing systems that combine rules, models, and feature engineering to improve detection efficacy, working with automated retraining pipelines, and analyzing data to identify and address capability gaps. The goal is to protect customers from evolving cyber adversaries by operating detection systems at high recall and low latency.

This role focuses on optimizing the performance of an AI detection engine for enterprise customers by analyzing misclassification patterns, implementing tuning strategies, and demonstrating measurable improvements in detection KPIs. It involves working with security operations, customer success, and detection engineering, leveraging AI-powered tools to drive customer value and contribute to the program's operational playbook.