Senior ML Engineer: Threat Detection & Security

Box Com; Redwood City (CA); Hybrid; USD 130,000 - 210,000; Full time

Job summary

Box is seeking a Machine Learning Engineer for the Shield team in Redwood City,CA. The role focuses on building and scaling ML models for ransomware detection, user behavior analytics, and anomaly detection to secure enterprise content at scale.

You will own end-to-end ML pipelines, work with Spark, Vertex AI, BigQuery, and Kubernetes, and collaborate with multiple teams to translate security requirements into ML solutions.

Qualifications

• 3+ years of experience in applied machine learning.
• Strong programming skills in Python.
• Deployed and maintained ML models serving real traffic.
• Experience with GCP (Vertex AI, BigQuery, Dataflow) or equivalent (AWS SageMaker, Azure ML).
• Deep understanding of feature engineering, model evaluation, and MLOps.
• Strong communication skills with ability to explain complex ML concepts to non-technical stakeholders.

Responsibilities

• 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.

Skills

Applied ML

Python

Communication

Model evaluation

ML Ops

Programming

Time management

Problem solving

Python programming

Scala

Java

Tools

GCP Vertex AI

BigQuery

Dataflow

TensorFlow

PyTorch

Kubernetes

AWS SageMaker

Azure ML

Job description

Box is seeking a Machine Learning Engineer for the Shield team in Redwood City,CA. The role focuses on building and scaling ML models for ransomware detection, user behavior analytics, and anomaly detection to secure enterprise content at scale.

You will own end-to-end ML pipelines, work with Spark, Vertex AI, BigQuery, and Kubernetes, and collaborate with multiple teams to translate security requirements into ML solutions.