Machine Learning Engineer II
Core
Building a high-recall detection engine for email attack detection using behavioral AI, modeling communication patterns, and training models to distinguish safe emails from attacks.
Role type
Machine Learning Engineer (Production)
Builds
Email detection product, automated model retraining pipelines, and detection decisioning systems.
Domain
Cybersecurity / Email Security / NLP
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, NumPy, SQL, Pandas, Spark, feature engineering, model training, data pipeline construction, system debugging
Preferred skills
Big data, statistics, algorithms, optimization
Technologies
PyTorch, TensorFlow, scikit-learn, NumPy, Spark, Pandas, SQL
Responsibilities
Design and implement systems combining rules, models, and feature engineering for email detection; Train models on specialized attack datasets; Monitor and improve false negative/positive rates; Analyze datasets to categorize capability gaps; Build and debug data pipelines; Present results to customers.
Seniority
Mid-level, hands-on IC
