We bring clarity to physical risk, enabling leaders to engage with confidence and enact resilient business critical decisions. Today's environmental, economic, and infrastructure challenges are deeply interconnected, yet the data required to understand these relationships is scattered across siloed and aging systems. Neural Earth enables operational execution; delivering a single decision intelligence platform that unifies planetary, governmental, and asset-level data, always on and always learning. This is technical work that requires patience. It requires teams willing to operate at the intersection of AI research, geospatial science, distributed systems, and enterprise deployment. It is also incredibly rewarding. Join us at Neural Earth, the next frontier is here.
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.
The compensation range for this role is $165,000 - $196,000 annually, based on role, level, and expertise.
