Machine Learning Engineer I - Message Security Products
Core
Build and operate end-to-end ML systems to detect and block misdirected outbound emails, preventing accidental data loss at scale.
Role type
Applied Machine Learning Engineer
Builds
Production-grade email security detection systems and realtime scoring pipelines
Domain
Cybersecurity / Email Security / Data Loss Prevention
Deliverable
production ML models
Required skills
End-to-end ML system development, Feature engineering, Model training and evaluation, Data wrangling (text and structured), Online A/B testing, Drift monitoring, 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 deployment and monitoring; Run rigorous experiments including offline metrics and online A/B tests; Participate in on-call rotation for realtime detection efficacy and false positive investigation; Collaborate with product and engineering stakeholders to align technical deliverables with roadmap milestones.
Seniority
Junior (I-level), hands-on IC
