Applied Science Platform Lead
External job listingat Stand
Lead Stand’s Applied Science platform initiatives across physics simulations, digital twins, AI/ML models, spatial intelligence, and production infrastructure.
Salary
Not provided
Location
San Francisco, United States
Employment type
Full time
Workplace
Not provided
Applied Science Platform Lead
San Francisco, United States
Job description
About the role
Stand builds a risk engine that uses advanced physics and AI to model catastrophic risk at the asset level and automate underwriting and mitigation before loss occurs. As the Applied Science Platform Lead, you’ll lead the platform sub-team within Applied Science, supporting Stand’s physics simulations, digital twins, AI/ML models, and spatial intelligence.
This player-coach role combines direct technical work with leadership. You’ll own the technical direction, planning, and execution of platform initiatives, aligning them with Applied Science and companywide stakeholders and ensuring they ship on schedule and deliver measurable outcomes.
Responsibilities
- Build, deploy, and support physics simulations, digital twins, AI/ML models, and spatial intelligence.
- Lead platform initiatives across production AI training and inference, simulation pipelines, infrastructure and CI/CD reliability, geospatial data processing, and annotation and QC systems.
- Support new digital-twin capabilities for expansion into new geographies and perils, such as hurricane.
Key facts
- The role leads the platform sub-team within Applied Science.
- The work spans AI training and inference, simulation pipelines, and geospatial data processing.
- The role supports digital-twin capabilities for expansion into new geographies and perils.
Frequently asked questions
What does the Applied Science Platform Lead do?
The role leads the platform sub-team that builds, deploys, and supports Stand’s physics simulations, digital twins, AI/ML models, and spatial intelligence.
What areas does the platform work cover?
The role spans production AI training and inference, simulation pipelines, infrastructure and CI/CD reliability, geospatial data processing, and annotation and QC systems.
Does the role include hands-on technical work?
Yes. It is a player-coach role combining direct technical work with leadership.