Machine Learning Engineer II
Abnormal(10 days ago)
About this role
A Machine Learning Engineer on the Message Detection - Attack Detection team at Abnormal AI builds high-recall detection engines that operate on hundreds of millions of messages with millisecond latency. The role focuses on developing behavioral-based detection models and automated retraining pipelines to adapt to evolving email attack techniques and shapes the technical roadmap to reduce impactful false negatives.
Required Skills
- Feature Engineering
- Model Training
- Data Analytics
- SQL
- Pandas
- Spark
- Python
- PyTorch
- TensorFlow
- NumPy
+6 more
Qualifications
- BS in Computer Science or Related Field
- MS in Computer Science or Related Field (Preferred)
About Abnormal
abnormal.aiAbnormal 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.
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