Algorithms Engineer – Data Fusion & Mapping

Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. Our customers are the utilities, transportation agencies, and government bodies that build the world's infrastructure — LA Metro, Caltrans, National Grid, Israel Railways, and 100+ teams worldwide. To date we've de-risked $75B in infrastructure investment and mapped 86.1M square feet of ground. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025.

Requirements: • B.Sc. in technical field such as Electrical Engineering, Computer Engineering, Computer Science or similar. • 5+ years of relevant industry experience. • Solid grounding in machine learning, with judgment about when a classical method beats a deep model. • Expertise in graph theory, computational geometry, statistics, optimization, and data analysis. • Strong Python programming skills (Pandas, NumPy, SciPy, PyTorch, etc.). • Versatility in selecting and combining tools to fit the problem at hand. Nice to Have • M.Sc. in relevant field. • Experience in Geo Information Systems (GIS). • Experience working with BIM data and 3D modelling. • Experience applying LLMs to information extraction from unstructured or scanned documents. • Experience in cloud environment development (AWS).