Stand
Insurance
MachineLearningTeamLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Machine Learning Team Lead at Stand. Skills: Machine Learning Engineering, Physics-informed AI, Digital twins, Computer vision. Lead the Machine Learning Engineering sub-team. Define priorities”
What You'll Achieve.
Deliver measurable outcomes; Ship on schedule; Accelerate simulation; Scale risk analytics
Industry & Context.
Problem definition; Root cause analysis
What They're Looking For.
Must Have
Proficiency with modern ML tooling, Experience leading engineers, Project ownership and execution, Experience combining physics-based modeling and machine learning, Ability to connect technical development to business objectives, Strong, succinct communication, SQL proficiency, Years of experience
Nice to Have
Prior experience as a people manager, Experience with computer vision, Experience with multimodal learning, Experience with spatially-aware architectures, Familiarity with building agentic systems, Familiarity with LLM-powered workflows, Experience in startups, Experience in zero-to-one technology development, Knowledge of geospatial datasets, Knowledge of remote sensing datasets, Knowledge of Earth observation datasets, PhD preferred, Cloud platform certs
What You'll Do.
Lead the Machine Learning Engineering sub-team
Manage and grow the team
Conduct growth conversations
Give direct and timely feedback
Design machine learning systems
Build machine learning systems
Deploy machine learning systems
Contribute to core components
Own projects end-to-end
Extend state-of-the-art models
Extend surrogate architectures
Build scalable ML infrastructure
Improve how the team works
Create process improvements
Maintain traceability
Drive cross-functional alignment
Coordinate across Applied Science
Coordinate across the business
Communicate modeling decisions
Communicate tradeoffs
Set a multi-year vision
Articulate team's impact
How You'll Work.
Team & Collaboration
Cross-functional alignment; Applied Science; Business stakeholders
Communication Scope
Succinct communication; Articulate links; Communicate decisions; Communicate tradeoffs; Communicate status
Process & Methodology
Planning, Prioritization, Stakeholder coordination, Delivery
Full Job Description
Why Join Stand: At Stand, you’ll help build a new class of global property protection. We use advanced physics and AI to model catastrophic risk at the asset level, then automate underwriting and mitigation before loss occurs. Insurance is simply the current delivery mechanism. The real product is a scalable risk engine, our Stand World Model https://frontier.standinsurance.com/. We stay when traditional insurers exit. We model what others approximate. And we build systems that change outcomes, not just prices. Background: The property insurance industry is built to price loss after it happens. It relies on coarse proxies, backward-looking data, and manual processes, then accepts damage as unavoidable. Stand takes a different approach. We simulate how real-world catastrophes affect individual properties, translate that into actionable decisions, and automate the business around it. The result is a platform that can underwrite what others can’t and operate with far less friction. Role Summary: As the MLE Team Lead on the Applied Science team, you will lead the Machine Learning Engineering sub-team as it develops and deploys Stand's flagship AI capabilities spanning physics-informed machine learning, digital twins, computer vision, and spatial intelligence. You will own the technical direction, planning, and execution of critical AI initiatives, ensuring they align with business priorities, ship on schedule, and deliver measurable outcomes. This is a player-coach role, combining direct technical work and the leadership work around it: people management, project planning, cross-team coordination, and process. Reporting directly to the Chief Science Officer, you will own key projects yourself while ensuring the broader MLE team is operating effectively, growing, and delivering real impact. You are the person who looks around corners, sees what the business needs, and turns "the business needs X" into "the team builds Y." You will partner across Applied Science and the b
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