Security ML Engineer: Threat Detection at Scale

Box; Redwood City (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Job summary

Box is hiring a Machine Learning Engineer to join the Shield security team in Redwood City. You will build and scale ML systems to protect billions of files and millions of users, contributing to enterprise-grade ransomware detection, anomaly detection, and fraud prevention.

Join a fast-paced backend/core team, collaborating with Platform, Application Engineering, and Product groups to translate security requirements into scalable ML solutions.

Qualifications

• 3+ years of experience applying machine learning to real problems.
• Strong programming skills in Python.
• Deployed and maintained ML models serving real traffic.
• Experience with GCP Vertex AI, BigQuery, Dataflow or equivalents.
• Deep understanding of feature engineering, model evaluation, and MLOps.
• Strong communication skills to explain ML concepts to non-technical stakeholders.

Responsibilities

• Design, train, and deploy ML models for security-related use cases.
• Own end-to-end ML pipelines processing high-volume security events.
• Create and maintain feature stores for real-time and batch detection.
• Deploy, monitor, and iterate ML models in production at scale.
• Collaborate with Platform, App Eng, and Product teams on ML solutions.
• Participate in on-call rotation to respond to issues.

Skills

Applied ML

Python

Model deployment

MLOps

Dataflow/Vertex AI

Tools

GCP Vertex AI

BigQuery

Dataflow

Job description

Box is hiring a Machine Learning Engineer to join the Shield security team in Redwood City. You will build and scale ML systems to protect billions of files and millions of users, contributing to enterprise-grade ransomware detection, anomaly detection, and fraud prevention.

Join a fast-paced backend/core team, collaborating with Platform, Application Engineering, and Product groups to translate security requirements into scalable ML solutions.