Machine Learning Engineer III, Shield

📋 Description

• Build, train, and deploy ML models for ransomware detection, suspicious session identification, and
• Own end-to-end ML pipelines that process high-volume security event streams using Apache Spark, GCP
• Create and maintain feature stores that power real-time and batch anomaly detection systems
• Deploy, monitor, and iterate on ML models in production, serving enterprise customers at scale
• Partner with Platform, Application Engineering, and Product teams to translate security
• Participate in the on-call rotation, available at all times while on-call to help respond to and

🎯 Requirements

• 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

🎁 Benefits

• Equity
• Benefits (details provided by Box)