Senior ML Engineer - Email Threat Detection & Scale

Abnormalsecurity

United States

On-site

USD 160,700 - 231,000

Full time

14 days+

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Job summary

Abnormal AI is seeking a Machine Learning Engineer to join the Message Detection - Attack Detection team. You will help build a high-recall detector engine that processes hundreds of millions of messages with millisecond latency.

You will design systems blending rules, models, and feature engineering, focusing on identifying attacks while minimizing false negatives. The role offers opportunity to shape roadmap and impact product direction.

Qualifications

3+ years designing, building and deploying machine learning applications in text understanding, NLP, or related domains.

Responsibilities

Design and implement systems that combine rules, models, feature engineering, and inputs into an email detection product.
Understand features that distinguish safe emails from email attacks and how the model stack catches them.
Identify new feature groups or ML approaches to improve detection efficacy; collaborate with infra to productionize signals.
Write code with testability, readability, and robust error handling in mind.
Train models on well-defined datasets to improve efficacy for specialized attacks.
Monitor and improve FN rates and efficacy for message detection across attack categories.
Contribute to data pipelines and, when needed, present results to customers.