Machine Learning Engineer I
Core
Build and operate end-to-end ML systems for detecting and blocking misdirected outbound emails to prevent accidental data loss at scale.
Role type
Applied Machine Learning Engineer (IC)
Builds
Production-grade detection systems for email security and data loss prevention
Domain
Cybersecurity / Email Security / Data Loss Prevention
Deliverable
production ML models
Required skills
end-to-end ML system development, data wrangling, feature engineering, model training and evaluation, production deployment, monitoring, offline metrics, online A/B testing, drift detection, numerical computing, algorithm implementation
Preferred skills
Python, Go, AWS, Spark, Databricks, email security/DLP domain knowledge, rule-based detector development
Technologies
Python, Go, AWS, Spark, Databricks
Responsibilities
Own the full ML lifecycle from data wrangling to monitoring; run rigorous experiments and evaluations; communicate technical deliverables to stakeholders; participate in on-call rotation for detection efficacy and realtime scoring systems
Seniority
Junior, hands-on IC
