Stand Insurance

You'll own critical systems across the insurance lifecycle at Stand, a company using **physics and AI to model catastrophic risk** at the asset level. You will productize models and pipelines that **directly impact risk, revenue, and customer behavior**. This role offers broad surface area and real influence over product direction.

You'll own the tooling for Stand's **data annotation pipeline**, covering computer vision, human-in-the-loop management, and quality optimization. You'll improve automation and reduce cost-per-policy while maintaining a strict quality floor. Over time, you'll build **compounding ML systems** like automated QA and predictive labeling.

You'll own growth and profitability for Stand's homeowners portfolio in wildfire-exposed western US markets. You'll develop state-level product, pricing, and underwriting strategies using **advanced physics and AI** to model catastrophic risk at the asset level. This role offers the chance to **redefine homeowners insurance** for climate-exposed regions by building scalable systems that change outcomes.

You'll support and extend the simulation and digital twin platform that underpins Stand's modeling workflows. You'll work with engineers and domain experts to improve **reliability, scalability, and data quality** across pipelines. This internship offers hands-on experience with **production-grade simulation systems** used to model catastrophic risk at the property level.

You'll lead the **Machine Learning Engineering sub-team** building **physics-informed AI and digital twins** for global property risk modeling. Your work will directly automate underwriting and mitigation, turning research into production systems that **change insurance outcomes**, not just prices.

You'll support the Insurance Product team at a startup building a risk engine for global property protection. You'll turn product strategy into clear analysis and documentation, ensuring data-driven decisions. You'll collaborate across product, actuarial, underwriting, and engineering in a fast-moving environment.

You'll own and evolve homeowners insurance products, starting with California and expanding into new states. You'll translate underwriting results, competitive dynamics, and regulatory constraints into a profitable, scalable product suite. This role sits at the **intersection of underwriting performance and data-driven decision-making**, driving **multi-state product expansion**.

You'll own and extend the simulation and digital twin platform that underpins Stand's modeling workflows. You'll build production simulation pipelines, geospatial data processing, and annotation systems. You'll collaborate with cross-functional teams to **scale property risk modeling** and **automate underwriting**.

You'll design and ship front-end tools that make complex physics simulations intuitive and performant. You'll be the bridge between advanced models and real-world usability, enabling users to visualize and manipulate **digital twins** for **climate risk assessment**. This role partners closely with Applied Science to transform simulations into actionable insights.

You'll join a pool of exceptional candidates for future roles at Stand, a company building a **scalable risk engine** for global property protection. By submitting your resume, you express interest in potential opportunities across various functions like **engineering, insurance, or product**. Your background will be reviewed, and our team may reach out when a relevant role opens.

You'll design and run controlled **fire experiments**, manage instrumentation and **data capture**, and convert raw experimental outputs into validation-ready datasets. These datasets directly support **physics-based modeling** for wildfire risk.

You'll lead the development of **core physics-based simulation capabilities** for wildfire and future perils at a startup building a **scalable risk engine** for property insurance. Your work will directly power real-world risk decisions and automate underwriting. This role combines technical leadership with people management in a fast-paced, ambiguous environment.

You'll design and launch **innovative homeowners insurance products** in catastrophe-exposed markets. Your core impact is shaping market strategy and leading regulatory filings. You'll also translate risk insights into **technology requirements** for a scalable risk engine.