Stand Insurance - Machine Learning Engineer
Requirements
• Deep hands-on experience designing and training multimodal models, fusing heterogeneous data (e.g., 3D/vision, simulation outputs, tabular, and text) into shared representations • A record of bringing models of this class to production: training at scale, evaluation, deployment, and iteration on live systems • Experience applying ML to complex physical systems. We are agnostic to the domain: atmospheric, molecular, protein, robotics, fluid dynamics, or other physics-grounded modeling all carries over • Experience training or fine-tuning LLMs, including tool use, agentic workflows, or post-training methods • Strong project ownership and execution: planning, prioritization, and delivery of complex technical work • Ability to operate across disciplines, connecting technical development to business objectives • Strong, succinct communication and judgment to balance R&D, delivery timelines, and business impact • Highly self-motivated, proactive, and adaptable; comfortable in fast-paced, ambiguous environments • Experience with retrieval and embedding systems: vector search and similarity in latent space • Experience with geometric deep learning: point clouds, meshes, and spatially-aware architectures • Familiarity with physics-informed AI and surrogate modeling across a number of domains • Experience in startups or zero-to-one technology development • Knowledge of geospatial, remote sensing, or Earth observation datasets
Responsibilities
• Design, build, and deploy machine learning systems spanning multimodal learning, physics-informed AI, digital twins, and spatial intelligence, contributing directly to core business impact • Own projects end-to-end, from problem definition and prototyping through production deployment, adoption, and ongoing performance monitoring • Develop rigorous evaluation frameworks that weigh model judgments against real business outcomes • Build on and extend scalable ML infrastructure • Partner with Stand’s Platform team on the model-harness interface • Drive cross-functional alignment, communicating decisions, tradeoffs, and status
Benefits
• $250K – $295K • Offers Equity • 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. • Stand World Model • We stay when traditional insurers exit. We model what others approximate. And we build systems that change outcomes, not just prices.Our leadership team includes former successful founders and CEOs from Metromile, PolicyGenius, WePay, and HotelTonight, bringing deep experience in building and scaling high-growth companies. • leadership team • 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. • Background: • 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. • The annual base salary range for full-time employees in this position is $250,000 to $295,000 + meaningful Equity Grant. • Compensation decisions are based on several factors, including an individual’s qualifications, the location where the role is performed, internal equity, and alignment with market data. • Above-market Health, Dental, and Vision coverage • Weekly lunch stipend • Flexible time off + holidays • PAT & MAT Leave • Short-Term and Long-Term Disability • Monthly team gatherings • Work Authorization • Work Authorization • Candidates must be authorized to work in the U.S. Stand does not sponsor new work visas. We can consider candidates on TN visas, O-1A visas, or H-1B transfers with three years or more remaining. • Equal Opportunity Employment
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