Verkada
The Computer Vision Engineer will develop AI and machine learning models that power Verkada's advanced video analytics, including people and vehicle detection, license plate recognition, and facial recognition. The role involves implementing algorithms, training deep learning networks, and deploying models to edge devices, while working onsite full‑time in an agile team environment.
Headquarters
San Mateo, California, United States
Company Size
1001-5000 employees
Founded
2016
Verkada is a physical security and smart-building company that provides cloud-managed security cameras, access control, alarms, environmental sensors, intercoms, and visitor management as a single, fully integrated platform for enterprises. Its AI-powered video surveillance and centralized management (Command) enable remote monitoring, analytics, and easy deployment at scale across on-premises gateways and cloud services. Verkada targets modern organizations that want simplified, scalable security and building operations with remote access, integrations, and a streamlined setup (including a free 30‑day trial).
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 Verkada.
160% above the average for this role
Dec 3, 2025