Machine Learning Engineer II - Message Security Products
Abnormal SecuritySingapore, Singapore
Posted October 29, 2025
Full Time
About the Company
Abnormal Security is an AI-native human behavior security platform that uses machine learning to prevent sophisticated inbound attacks and detect compromised accounts across email and connected applications. The company specializes in email security, business email compromise, phishing detection, and artificial intelligence solutions. Its key differentiator lies in its advanced AI capabilities that enable real-time threat detection and response.
Job Description
Abnormal AI is seeking an experienced Machine Learning Engineer (MLE) to join the Misdirected Email Prevention (MEP) team. This role focuses on detecting and blocking misdirected outbound emails, contributing to a highly applied ML system that delivers protection at scale without adding operational overhead to customer SOCs. The MLE will be responsible for building, iterating, and experimenting on ML solutions, including data wrangling, feature engineering, model training, evaluation, deployment, and monitoring.
Requirements
- BS degree in Computer Science, Machine Learning, Artificial Intelligence, Information Systems, or a related engineering or quantitative field
- 3+ years building and operating applied ML features in production systems
- Proven experience building end-to-end ML systems, including data wrangling (text and structured), feature engineering, model selection, training, evaluation, and production deployment
- Demonstrate ability to implement and reason about algorithms, develop embeddings, average and combine signals, and apply numerical computing effectively