Physical and financial systems are under growing pressure from a changing planet. Neural Earth fuses geospatial intelligence and AI to help organizations understand how environmental, social, and economic factors intersect across space and time. By transforming massive geospatial datasets into clear, actionable insight, Neural Earth enables decision-makers to anticipate risk, strengthen resilience, and plan with confidence, from individual properties to global portfolios.
We’re seeking an experienced and versatile AI/ML & Foundational Model Engineer to design, train, fine-tune, and deploy multimodal and geospatially-aware foundation models. You’ll contribute to our internal LLM stack and the intelligence layer that powers Neural Earth’s conversational AI assistant. Your work will support capabilities such as property risk reasoning, hazard detection, and spatial insight generation across imagery, text, and structured data.
This is a hands-on engineering role requiring deep experience with transformers, multimodal embeddings, and annotation or labelling pipelines. You’ll collaborate closely with our product, data, and platform teams to build domain-adapted AI systems that process text, code, imagery, and spatial datasets, and make complex risk intelligence accessible to everyone from underwriters to analysts.