Stand is a new technology and insurance company revolutionizing how society assesses, mitigates, and adapts to climate risks. Existing insurance models often rely on broad exclusions, leaving homeowners without options. At Stand, we leverage advanced deterministic models and cutting-edge analytics to provide personalized risk assessments—helping homeowners secure coverage and take proactive steps toward resilience.
Requirements
- Strong foundation in ML with experience in computer vision, geospatial data, segmentation, and taking models from research to production
- Proficiency in ML frameworks (PyTorch, TensorFlow), with ability to train from scratch, fine-tune advanced architectures, and evaluate model performance across diverse datasets and production scenarios
- Familiarity with modern methods: transformers, diffusion, multimodal models, GNNs, and agentic AI frameworks (e.g., LangChain)
- Comfortable in a modern software environment: standardized dev environments (monorepos/containers), CI/CD pipelines, automated testing, code reviews, and shared libraries/SDKs
- Ability to stay current with emerging methods and apply them pragmatically to business problems
- Familiarity with physics-based modeling (finite element, finite volume, finite difference) and integrating ML with simulation
- Knowledge of geospatial/remote sensing ecosystems or multimodal Earth observation pipelines
Responsibilities
- Design, train, and deploy ML models across computer vision, geospatial data, multimodal learning, and AI-driven physics
- Fine-tune and apply state-of-the-art models to automate our simulation and remote-inspection pipeline
- Build scalable ML infrastructure including data pipelines, training methodologies, and evaluation frameworks for real-time risk analytics
- Continuously improve model performance through monitoring, retraining, and active learning
- Own projects end-to-end from prototyping through production with emphasis on reliability and measurable outcomes
- Collaborate cross-functionally with front-end developers, the Product team, and Applied Science stakeholders to integrate models into user-facing workflows
Other
- 5 years of Industry experience doing relevant work post Masters program in relevant field
- Strong collaborator across disciplines with the ability to connect knowledge silos and foster innovation
- Experience in early-stage startups or high-growth environments requiring rapid iteration
- Passion for applying ML to real-world resiliency challenges beyond purely digital contexts
- Stand is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
