# Machine Learning Engineer II at Abnormal

Abnormal is recruiting a Machine Learning Engineer II to strengthen its Message Detection team, which builds high-performance systems to identify sophisticated email attacks at scale. You'll work on a multi-layered detection platform that analyzes communication patterns, sender behavior, and message characteristics to catch threats with minimal false negatives—critical when attacks can cost organizations millions. The team combines machine learning models with rule-based approaches and continuously retrains systems to adapt to evolving adversaries, protecting over 25% of Fortune 500 companies.

In this role, you'll design detection systems that integrate rules, features, and ML models into production email security products. Your responsibilities include discovering what distinguishes safe emails from attacks, engineering new feature sets and model approaches to improve detection accuracy, training specialized models, and analyzing false negatives to identify capability gaps. You'll also collaborate with infrastructure teams to operationalize new signals and contribute across the stack—from data pipeline development to customer-facing tools.

This position requires 3+ years building and deploying ML applications in domains like NLP, text understanding, entity recognition, or similar areas, plus 1+ years of production-level model pipeline experience. You'll need strong SQL, Python, and data manipulation skills (pandas/Spark), systematic debugging abilities, and a pragmatic approach to designing generalizable solutions. Based remotely in the USA, this role offers opportunity to significantly shape team strategy while tackling high-impact security challenges.

Location: Remote - USA

Apply: https://getfoundi.com/apply/machine-learning-engineer-ii-abnormal-cb9a9d4d

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