AI/ML Engineer Intern – Physical Security, Multimodal AI

Job Description

AI Software Engineering Intern – Fall 2026 | Verkada

The Tone:
This is an internship at Verkada, located in San Mateo, CA. Verkada builds an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. With serious market momentum, more than 30,000 customers, and a $5.8B valuation, the company is transforming how organizations protect their people and places. This role is crucial for developing the next generation of intelligent protection systems using AI, directly contributing to real-world security challenges.

The TL;DR
• Role: Internship
• Type: Temporary
• Location: In-person, San Mateo, CA
• Pay: $55–$65 hourly
• Mission: Develop advanced intrusion alarms, perimeter monitoring, and personal safety solutions powered by multimodal data.

What You’ll Actually Do
• Design: Design and build AI-powered intrusion detection and alarm systems.
• Develop: Develop intelligent perimeter monitoring and real-time threat detection capabilities.
• Create: Work with multimodal data (video, audio, and sensor inputs) to create robust safety systems.
• Innovate: Rapidly prototype, test, and iterate on new ideas from concept to deployment.
• Integrate: Explore and integrate large-scale video and audio models for perception and anomaly detection.

The Must-Haves
• Background: Actively pursuing a Bachelor’s or Master’s degree in Computer Science or similar technical field of study and graduating by June 2027.
• Experience: Experience in AI or Machine Learning, gained through either an internship or research.
• Skills: Strong ability to quickly build and iterate on new ideas in ambiguous problem spaces; solid engineering skills with a focus on shipping production-ready systems; ability to balance rapid prototyping with scalable, reliable system design; self-driven mindset with a bias toward action and exploration.
• Bonus: Experience or interest in working with video, audio, and sensor data; familiarity with modern machine learning approaches, especially multimodal or large models; comfort experimenting with and applying large video and audio language models.