Edge Deployment Jobs

Lead development of scalable vision-language foundation models and optimize them for real-time, edge-capable deployment within Ambient.ai’s physical security platform.

Work directly on deploying and maintaining Field AI's autonomous systems in customer environments, blending systems engineering, troubleshooting, and customer enablement to drive mission-critical adoption.

Ambient.ai is looking for an Applied Research Scientist to design, train, and optimize multimodal foundation models for computer vision and real-time security applications.

Experienced AI/ML Engineer needed to build and deploy real-time ML models for autonomous platforms, optimizing inference on edge devices and integrating closely with hardware and end users.

Work on end-to-end computer vision systems at Boon to turn construction drawings and technical documents into structured, actionable data used by real customers.

A hands-on Perception Intern role at Mach9 to prototype and improve 2D/3D detection models for urban mapping and help transition algorithms to real-time edge systems.