ML Researcher (World Models)

At Geolava, we bring AI to the physical world. We are building spatial intelligence systems by leveraging world models to simulate the evolution of the physical world over time. We continuously model real-world dynamics, simulate actions, and forecast their impact on assets.

We are backed by top-tier VCs and have been revenue-generating from day one. This is your opportunity to join as a founding team member to help define the future of spatial intelligence from the ground up.

We are looking for an ML Researcher to help build Geolava's world model for the built world: a system that perceives the current state of properties and infrastructure, learns how they change over time, and forecasts what comes next, whether the driver is time, a renovation, a new construction, or a hurricane. You will work from raw earth observation and property data all the way to a model that can reason about state, action, and future state, and you will decide how we measure whether it works.

This is a research role on a small team, and you will own real problems end to end: framing the question, designing the experiment, running it on real data at scale, and writing up what you learned. It is also a startup. Research that works here does not sit in a paper. It ships as a capability inside the product that property investors, lenders, and infrastructure owners use to make decisions.

Responsibilities (What You'll Do)

• Design, train, and evaluate world models of the built environment that…