Machine Learning Engineer

About StandStand is a new technology and insurance company revolutionizing how society assesses, mitigates, and adapts to climate risks. Our leadership team has extensive experience in insurance, technology, and climate science: building billions in market value at prior ventures. At Stand, we are rethinking how insurance enables proactive, science-driven resilience.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.The RoleOn the Applied Science team, we develop machine learning models that power Stand’s risk analytics and climate resilience platform. Our goal is to combine AI, geospatial intelligence, and physics-based simulations into scalable tools that directly influence underwriting, pricing, and customer decision-making.Machine Learning Engineer, you’ll own projects end-to-end: designing, training, and deploying models that deliver immediate and long-term business impact. You’ll work in a fast-moving, startup environment where priorities evolve quickly, collaborating across science, product, and engineering to translate technical breakthroughs into production-ready solutions.Projects will include topics like:Data augmentation and sensor fusionDigital twin annotationGeospatial data analyticsComputer visionAgentic toolingThis Role WillOwn projects end-to-end from prototyping through production with emphasis on reliability and measurable outcomesDesign, train, and deploy ML models across computer vision, geospatial data, multimodal learning, and AI-driven physicsFine-tune and apply state-of-the-art models to automate our simulation and remote-inspection pipelineBuild scalable ML infrastructure including data pipelines, training methodologies, and evaluation frameworks for real-time risk analyticsCollaborate cross-functionally with front-end developers, the Product team, and Applied Science stakeholders to integrate models into user-facing workflowsContinuously improve model performance through monitoring, retraining, and active learningCore Skills (Must-Haves)Strong foundation in ML with experience in computer vision, geospatial data, segmentation, and taking models from research to productionProficiency in ML frameworks (PyTorch, TensorFlow), with ability to train from scratch, fine-tune advanced architectures, and evaluate model performance across diverse datasets and production scenariosFamiliarity 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/SDKsAbility to stay current with emerging methods and apply them pragmatically to business problemsStrong collaborator across disciplines with the ability to connect knowledge silos and foster innovation5 years of industry experience doing relevant work post masters program in relevant fieldNice to Have (Helpful, Not Required)Familiarity with physics-based modeling (finite element, finite volume, finite difference) and integrating ML with simulationExperience in early-stage startups or high-growth environments requiring rapid iterationKnowledge of geospatial/remote sensing ecosystems or multimodal Earth observation pipelinesPassion for applying ML to real-world resiliency challenges beyond purely digital contextsCompensationThe annual base salary range for full-time employees in this position is $160,000 to $210,000 with a meaningful Equity Grant. Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data.Additional BenefitsComprehensive benefits including above-market Health, Dental, VisionWeekly lunch stipendFlexible time off401k planWhy Join Stand?At Stand, you’ll be part of a mission-driven team redefining how insurance intersects with climate resilience. This is a unique opportunity to build something transformative—leveraging advanced technology, underwriting expertise, and data-driven insights to create a smarter, more adaptive insurance model.Equal Opportunity EmploymentStand is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We believe that diversity enriches the workplace, and we are committed to growing our team with the most talented and passionate people from every community. Stand Insurance is committed to providing an inclusive and accessible recruitment process. If you require any accommodations during the application or interview process, please let us know by contacting . We will work with you to ensure you have the support you need to participate fully. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

Created: 2025-09-17