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.

External source - not verified7 weeks agoOpen until: Dec 2, 2026

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.

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