Stand | San Francisco, CA | ONSITE
Core
Building ML surrogates that run physics simulations 1,000x+ faster and structure-level digital twins from imagery to model property performance in wildfires and hurricanes.
Role type
Senior IC machine-learning engineer (physics-informed AI)
Builds
ML surrogates for physics simulations and structure-level digital twins
Domain
Insurance / AI / Physics simulations
Deliverable
production ML models
Required skills
ML surrogates, physics-informed AI, digital twins, imagery processing, large-scale systems, reasoning across risk and cost
Preferred skills
None stated
Technologies
None stated
Responsibilities
Develop ML surrogates for high-speed physics simulations; Build structure-level digital twins from imagery and property data; Design systems to reason across risk, cost, and homeowner tradeoffs
Seniority
Senior, hands-on IC
Sourced via hn_whoishiring · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.