Machine Learning Engineer - Multimodal Modeling

The role

You will design, train, and deploy multimodal machine learning systems that mesh the Stand World Model with language models. This role involves owning modeling work end-to-end to support underwriting, pricing, and mitigation decisions.

What you will do

• Design, build, and deploy machine learning systems spanning multimodal learning, physics-informed AI, digital twins, and spatial intelligence
• Own projects end-to-end from problem definition through production deployment and monitoring
• Develop rigorous evaluation frameworks weighing model judgments against business outcomes
• Build on and extend scalable ML infrastructure
• Partner with the Platform team on the model-harness interface
• Drive cross-functional alignment regarding decisions and tradeoffs

Required qualifications

• Deep hands-on experience designing and training multimodal models fusing heterogeneous data
• Strong VLM exposure
• Experience building and post-training multi-step LLM agents that call external tools and interact with environments
• Record of bringing models of this class to production including training at scale, evaluation, and deployment
• Experience applying ML to complex physical systems
• Strong project ownership and execution
• Ability to operate across disciplines connecting technical development to business objectives
• Strong, succinct communication and judgment
• Highly self-motivated, proactive, and adaptable

Nice to have

• Experience with embodied AI— training agents to navigate in 3D 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

Benefits

• Above-market Health, Dental, and Vision coverage
• Weekly lunch stipend
• Flexible time off + holidays
• 401(k) plan
• Commuter benefits
• PAT & MAT Leave
• Short-Term and Long-Term Disability
• Monthly team gatherings
• In-office perks

Before you apply

• Candidates must be authorized to work in the U.S.
• Stand does not sponsor new work visas
• Can consider candidates on TN visas, O-1A visas, or H-1B transfers with three years or more remaining
• Candidates should be prepared to discuss how they use AI
• If you plan to use an AI assistant or LLM during any portion of an interview, please discuss it with your interviewer in advance

About the company

Stand uses advanced physics and AI to model catastrophic risk at the asset level to automate underwriting and mitigation. The company's real product is a scalable risk engine called the Stand World Model.