Senior Machine Learning Engineer - Attack Detection

Abnormal(7 days ago)

RemoteFull TimeSenior$195,000 - $230,000Engineering

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.

View Original Listing

Required Skills

Python
Machine Learning
Feature Engineering
SQL
Pandas
Spark
Scikit-Learn
Data Analytics
Model Training
Productionization

+4 more

Qualifications

Bachelor's Degree in Computer Science or Related Field
MS 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.