Neural Earth brings clarity to risk, helping decision makers act with confidence and enact resilient business critical decisions. Today’s environmental, economic, and infrastructure challenges are deeply interconnected yet the information required to understand these relationships are scattered across siloed and aging systems. As risk evolves, organizations go extinct when reliant on incomplete or outdated information. Neural Earth unifies our planet's data and deploys a single AI powered system, enabling revenue-driving decisions in seconds, not weeks.
Neural Earth is 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.
