Builds computer vision and 3D perception models that detect and assess infrastructure such as pavement, signs and sidewalks from LiDAR and imagery. Also builds LLM-powered products, including agentic workflows and an MCP server, and takes models from training through evaluation, deployment and monitoring. Based in Somerville, MA or remote from San Francisco.
ABOUT CYVL
The best infrastructure is invisible. You only notice it when it fails. For decades, the people responsible for our roads, bridges and sidewalks have been asked to manage the physical world with tools that can't see it.
Cyvl is the Physical AI company changing that. We build purpose-built sensors, computer vision and AI that turn every drive into current data: what exists, where it is and what condition it's in. 500+ cities and towns use our Infrastructure Intelligence Platform to direct the work and fix problems before they fail. 1 in 30 Americans drive on roads managed with Cyvl data.
The proof isn't a dashboard. It's a smoother commute, a safer walk to school and public dollars going where they matter most. We're a fast-moving team in Boston building hardware, software and AI for the real world. If you believe technology's highest calling is public good, come build with us.
THE ROLE
Cyvl has one of the largest proprietary datasets of US infrastructure: LiDAR and imagery from hundreds of cities. As an AI Engineer, you'll turn that data into intelligence, from computer vision models that detect and assess assets to LLM-powered agents and tools that let customers and partners ask questions of the physical world. You'll work from prototype to production, shipping models and AI features customers use every day. This role is based in Somerville, MA, or remote from San Francisco, CA.
WHY CYVL
Hard tech. Real streets. Your name on it.
We're a startup building a category. If that sounds like the draw, not the risk, we'd love to talk.
We build for every community, so we hire from all of them. The best people for this work come from different backgrounds, paths, and places, and many of them don't check every box. If this role excites you, apply anyway. If you need an adjustment to our interview process, tell us and we'll make it work.
Compensation: $125K - $225K