Machine Learning Engineer III, Shield

We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

Nice to have:

Experience in security/threat detection, anomaly detection, or fraud detection

Experience with sequential data, anomaly detection, or behavioral modeling (time-series forecasting, LSTM, Transformers, or similar)

Knowledge of LLMs and AI safety (prompt injection, guardrails, red-teaming)

Build Threat Detection Models: Design, train, and deploy ML models for ransomware detection, suspicious session identification, and user behavior analytics

Scale Data Pipelines: Own end-to-end ML pipelines that process high-volume security event streams using Apache Spark, GCP Dataflow, and Vertex AI

Feature Engineering: Create and maintain feature stores that power real-time and batch anomaly detection systems

Production ML Systems: Deploy, monitor, and iterate on ML models in production, serving enterprise customers at scale

Cross-functional Collaboration: Partner with Platform, Application Engineering, and Product teams to translate security requirements into ML solutions

Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise.