Machine Learning Engineer III, Shield
Core
Build and scale ML systems to detect ransomware, suspicious sessions, and anomalous user behavior to secure enterprise content.
Role type
Senior IC machine learning engineer (security/threat detection)
Builds
Real-time and batch anomaly detection systems, threat detection models, and feature stores for Box Shield
Domain
Cybersecurity, AI security, User Behavior Analytics, Time-Series Anomaly Detection
Deliverable
production ML models
Required skills
Python, GCP (Vertex AI, BigQuery, Dataflow), MLOps, feature engineering, model evaluation, deployed ML models serving real traffic
Preferred skills
Security/threat detection, anomaly detection, fraud detection, sequential data modeling (LSTM, Transformers), streaming/real-time ML systems, Java, LLMs and AI safety
Technologies
Apache Spark, Vertex AI, BigQuery, TensorFlow, PyTorch, Kubernetes, Scala
Responsibilities
Design, train, and deploy ML models for ransomware and suspicious session detection; Own end-to-end ML pipelines for high-volume security event streams; Create and maintain feature stores for anomaly detection; Deploy, monitor, and iterate on ML models in production; Partner with Platform, Application Engineering, and Product teams; Participate in on-call rotation for incident response
Seniority
Senior, hands-on IC
