Software Engineer II - Attack Detection
Abnormal(8 days ago)
About this role
Abnormal AI is seeking a Software Engineer II to develop LLM-based detection systems for email security. The role involves building architectures, staying current with LLM advancements, and collaborating with cross-functional teams to enhance their threat detection capabilities. The company has a focus on innovation in cybersecurity and employs behavioral AI systems to protect major clients.
Required Skills
- Python
- Go
- Large Scale Systems
- Data Analysis
- Machine Learning
- Cloud Computing
- Software Development
- Threat Detection
- Big Data
- System Architecture
Qualifications
- BS in Computer Science
- Software Engineering
- Information Systems
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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