AI Engineer

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 cant 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 its 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 isnt a dashboard. Its a smoother commute a safer walk to school and public dollars going where they matter most. Were a fast-moving team in Boston building hardware software and AI for the real world. If you believe technologys highest calling is public good come build with us.

Cyvl has one of the largest proprietary datasets of US infrastructure: LiDAR and imagery from hundreds of cities. As an AI Engineer youll 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. Youll 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.

• Build and improve computer vision and 3D perception models that detect classify and assess infrastructure (pavement signs sidewalks trees) from LiDAR and imagery.

• Build LLM-powered products: agentic workflows our MCP server and AI copilots that put Cyvl data to work inside customer tools.

• Own models from data and training through evaluation deployment and monitoring in production.

• Design evaluation sets and metrics that tie model performance to what customers actually need.

• Stay close to the state of the art and bring the right new tools into our products and our own workflows.

• 3 years building and shipping ML or AI systems in production

• Strong Python and a modern deep learning framework (PyTorch preferred)

• Hands-on experience with computer vision 3D perception or LLM applications (RAG tool use agents evals)

• Solid software engineering fundamentals: testing code review and cloud deployment

• Ability to go from an ambiguous problem to a working prototype quickly then make it production-grade

• Point cloud or multimodal work (LiDAR and imagery fusion)

• Model Context Protocol (MCP) foundation model APIs or agent frameworks

• Geospatial or remote sensing background

• MLOps: model serving GPU infrastructure experiment tracking

• Advanced degree in CS ML robotics or a related field or equivalent experience

Hard tech. Real streets. Your name on it.

• Hard problems in the real world. You build end-to-end: our own hardware software and AI with work that shows up on the street in the real world.

• Ownership that compounds. You own outcomes not tasks. You work directly with customers and across our team and youll own more sooner than almost anywhere else.

• Intense with heart. Were building a category so its not a place to coast. We also take care of each other have genuine fun together and believe in what we are doing.

• Cross lanes. Not my job doesnt exist here.

• Own without a playbook. The plan is still being written often by you.

• Try miss try again. We make big bets. Some wont land and we learn fast.

• Be in the room. Were on-site in Somerville about 90% of the time. If youre based in San Francisco this role is remote and youll be with the team in Somerville for the moments that matter like onboarding kick-offs and milestones.

Were a startup building a category. If that sounds like the draw not the risk wed love to talk.

• Equity. Youll own a piece of what youre building.

• Health dental and vision. Cyvl covers most of the premium for you and your family.

• 401k with a real match vested day one. Your money is yours from the start.

• Generous PTO & Paid Parental leave. Doing hard work well includes stepping away from it.

• Learning stipend. Spend it on whatever makes you sharper.

• Paid to live close. A monthly bonus for living near our Boston office.

• Team events. Time together in Boston with a team youll love working with.

• Real: Authentic and transparent. Focused on solving real problems with simple effective solutions.

• All Out: Bold driven and committed to delivering results that matter.

• Accelerating: Always learning growing and moving with intention.

• Reliable: We follow through and deliver at a consistently high bar.

• Empowering: We lift each other up and help governments build infrastructure they can be proud of.

• How Atlanta cut downtown potholes by 60%

• How Buffalo turned a campaign promise into a paving plan

• How to rebuild US infrastructure smarter

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 dont check every box. If this role excites you apply anyway. If you need an adjustment to our interview process tell us and well make it work.

Required Experience:

IC