AI-enhanced for better readability
Stand | San Francisco, CA | ONSITE
About Stand
We're building the intelligence layer for physical risk: digital twins of individual homes, run through physics-informed AI World Models, to see exactly how a specific property will perform in a wildfire or hurricane — traditional models only guess at the neighborhood level. That precision lets us do what insurers historically couldn't: measure how much a new roof, cleared vegetation, or better siding actually cuts risk, then price coverage accordingly, turning mitigation into a real financial incentive instead of just advice.
We've scaled to ~$10B in insured assets in just two states in under a year.
The Technical Challenges
We are working on interesting problems, including:
- ML surrogates that run physics simulations 1,000x+ faster without losing accuracy.
- Structure-level digital twins built from imagery and property data at scale.
- Systems that reason across risk, cost, and homeowner tradeoffs.
We're hiring across engineering and applied science.
Open Roles
Member of the Technical Staff, AI Harness
- Type: Full-time, Hybrid
- Compensation: $270k - $325k + Equity
- Application: Apply here