Principal Machine Learning Engineer

Zscaler(1 month ago)

HybridFull TimeSenior$182,000 - $260,000Engineering

About this role

A Principal Machine Learning Engineer at Zscaler will join the ML/AI team to advance cybersecurity solutions using machine learning across detection, policy recommendation, content classification, and anomaly detection. The role is part of the Engineering organization and reports to the VP of AI and ML, contributing to production-grade, cloud-native AI systems. This is a hybrid position based in San Jose, CA, focused on applying advanced AI research to solve critical cybersecurity challenges.

View Original Listing

Required Skills

Machine Learning
Deep Learning
Feature Engineering
Data Modeling
Model Development
Model Deployment
Pipeline Optimization
Cloud Infrastructure
Algorithms
Game Theory

+11 more

Qualifications

Bachelor's Degree in Computer Science
Master's Degree
PhD

About Zscaler

zscaler.com

Zscaler is a cloud-native enterprise security company that delivers a zero‑trust platform to secure users, devices, and applications by inspecting traffic and enforcing access policies in the cloud. Its Zero Trust Exchange and SASE/SSE offerings — including Zscaler Internet Access (ZIA), Zscaler Private Access (ZPA), cloud firewall, browser isolation, and data protection — let organizations replace legacy VPNs and backhauled security with direct-to-cloud, policy-driven controls. Serving global enterprises, Zscaler applies AI/ML and automation for threat protection, data loss prevention, and scalability across hybrid/multi‑cloud, IoT/OT, and B2B environments to accelerate secure digital transformation.