Geospatial Summer Intern

Posted:

Job reference: 14582

Experience level: Early Career

Job category: Students & Early Careers

Line of business: Insurance

Job Summary

The Geospatial team at Moody's is developing advanced AI/ML capabilities, including Large Vision Models (LVMs) and Generative/Agentic AI, to extract insights from large-scale satellite and aerial imagery. These capabilities enable scalable analysis of remote sensing data, supporting accurate detection of objects, patterns, and temporal changes.

Responsibilities

• Developing and applying vision models to geospatial challenges
• Working on tasks such as: Image enhancement (denoising, super-resolution), building footprint extraction, renewable asset detection, multi-temporal change detection
• Supporting the integration of LVMs and generative AI into production workflows

This role offers hands-on experience with scalable, production-grade AI systems while contributing to global geospatial intelligence solutions.

Education

• Candidates should be currently enrolled in a Masters or Ph.D. program in Geoinformatics, Remote Sensing, Earth Sciences, Computer Science, or a related field, candidates should have completed their Bachelors degree in Civil Engineering, Computer Science, Environmental Science, or a related discipline

Skills and Competencies

• Strong foundation in machine learning, computer vision, and numerical methods
• Experience with CNN-based architectures and modern vision models
• Solid understanding of remote sensing techniques, including: Image classification and segmentation
• Change detection and decorrelation
• Processing of hyperspectral and multispectral imagery
• Proficiency in Python, with hands-on experience in: Machine Learning frameworks (Scikit-Learn, TensorFlow, Keras, PyTorch, GluonCV, Image processing & geospatial libraries: OpenCV, GDAL, GeoPandas, Rasterio)
• Familiarity with GIS tools: ESRI suite, QGIS, GRASS
• Exposure to Google Earth Engine is a plus
• Basic understanding of AI concepts (Generative AI tools and Agentic AI systems), with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency leveraging these technologies for research, analysis, or workflow optimization. Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.