Machine Learning Team Lead

About the Company

Stand is building a new class of global property protection using advanced physics and AI to model catastrophic risk at the asset level. The company aims to automate underwriting and mitigation through its scalable risk engine, the Stand World Model.

Responsibilities

• Lead the Machine Learning Engineering sub-team, defining priorities and managing engineer growth
• Design, build, and deploy ML systems spanning physics-informed AI, digital twins, and computer vision
• Own projects end-to-end from problem definition through production deployment and business adoption

Requirements

• Experience leading engineers and delivering complex technical projects
• Proficiency with modern ML tooling and infrastructure
• Experience combining physics-based modeling with machine learning or scientific computing

Preferred Qualifications

• Prior experience as a people manager in high-growth environments
• Experience with computer vision, multimodal learning, or spatially-aware architectures
• Knowledge of geospatial, remote sensing, or Earth observation datasets