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Machine Learning Engineer 1
abnormal security · Remote - Singapore · Posted 10 days ago
"Own the full ML lifecycle for a detection system that stops accidental data loss by blocking misdirected outbound emails across customer environments."
Abnormal AI is seeking a Machine Learning Engineer - I (MLE) to join the Misdirected Email Detection (MED) team. The MED team plays a critical role in preventing accidental data loss by detecting and blocking misdirected outbound emails, delivering protection at scale without adding operational burden to customer SOCs.
This is a highly applied role for MLEs who thrive on building, iterating, and experimenting. Rather than focusing solely on model training, you will also be responsible for developing practical, end-to-end ML solutions. This includes but is not limited to generating and refining features, testing hypotheses, averaging signals, and translating research ideas into production-grade systems, all while collaborating cross-functionally to turn customer needs into measurable product improvements. The ideal candidate combines a tinkerer's mindset with technical rigor, balancing innovation with production excellence to drive experimentation, scale solutions, and deliver reliable detection capabilities that create meaningful customer impact in real-world environments.
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This role is one of 84 Machine Learning Engineer openings in Remote and centers on Python, Machine Learning, Feature Engineering, and Model Evaluation. There are 86 open roles at abnormal security right now.
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