About the job
About The Role
At Abnormal AI, we are on a mission to redefine security with our innovative Machine Learning Engineer role within the Message Detection - Attack Detection team. Our focus is to shield our clients from evolving threats posed by malicious actors who continuously adapt their tactics to bypass conventional security measures. Our unique behavioral-based approach sets us apart, and we take pride in being recognized as one of the top cybersecurity startups. Our advanced behavioral AI system has earned us numerous cybersecurity accolades, allowing us to safeguard over 25% of the Fortune 500 and counting.
In a world where a single successful cyberattack can result in losses amounting to millions, our Attack Detection team is pivotal in constructing a high-recall Detection Engine capable of analyzing hundreds of millions of messages with minimal latency. Our mission is to deliver exceptional detector efficacy to effectively address the dynamic threat landscape by utilizing a blend of generalizable and auto-trained models alongside specialized detectors for critical attack categories.
We tackle a complex detection challenge involving the modeling of communication patterns to establish enterprise-wide baselines. By integrating these patterns as robust signals and combining them with contextual data, we create highly precise detection systems. The team develops discriminative signals at multiple levels, including message-level (e.g., identifying specific phrases), sender-level (e.g., analyzing sender frequency), and recipient-level (e.g., evaluating the likelihood of receiving a secure message). These signals are then synthesized to train both model-based and heuristic detectors. Furthermore, to continuously adapt to emerging threats, we implement various stages in our automated model retraining pipelines, including data analytics, modeling, production evaluation, and automated deployment.
This position offers a unique opportunity to significantly influence the team’s direction, charter, and roadmap. As a Machine Learning Engineer, you will delve into the domain of false negatives, identifying current and potential future attacks that could disrupt customer workflows. You will play a crucial role in defining the technical roadmap needed to tackle pressing customer challenges while ensuring the optimal operation of our detection decisioning system at an exceptionally high recall rate.