Senior Machine Learning Engineer - Attack Detection

Abnormal

1 month ago

3.6 on Glassdoor

Remote

Full Time

Senior

17 applicants

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About this role

Senior Machine Learning Engineer at Abnormal Security on the Message Detection Decisioning team focused on the company’s behavioral-based email detection platform. The role centers on developing and scaling systems that analyze communication patterns and signals to maintain a high-precision, low-latency detection engine for enterprise customers. The team’s work protects customers from evolving email attacks and informs product-level decisioning and metrics.

Skills

Qualifications

Bachelor's Degree in Computer Science or Related FieldMS in Computer Science or Electrical Engineering (Preferred)

About Abnormal

abnormal.ai

Abnormal AI is a cloud-native email security company that uses AI and behavioral analytics to prevent credential phishing, business email compromise (BEC), account takeover, and other sophisticated email attacks. Its platform protects cloud email environments (such as Microsoft 365 and Google Workspace) by modeling organization-specific identity, relationships, and communication patterns to detect anomalous or malicious messages. Abnormal provides automated detection, remediation, and investigation workflows to reduce risk and operational burden for security teams. Organizations choose it for contextual, identity-aware machine learning that aims to stop targeted attacks while minimizing false positives.