Zscaler
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.
Headquarters
San Jose, California, United States
Company Size
5001-10000 employees
Founded
2008
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.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Zscaler.
Korea Investment CORP Raises Position in Zscaler, Inc. $ZS
2 days ago