At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

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.

Education
Candidates should be currently enrolled in a Master's or Ph.D. program in Geoinformatics, Remote Sensing, Earth Sciences, Computer Science, or a related field, candidates should have completed their Bachelor's degree in Civil Engineering, Computer Science, Environmental Science, or a related discipline.
Responsibilities

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, Key initiatives include:

• Global Property Project: building high-resolution global datasets of building stock
• Global Renewable Energy Project: mapping solar and wind assets worldwide

As an AI/ML Intern, you will contribute to these high-impact programmes by:

• Developing and applying vision models to geospatial challenges
• Working on tasks such as: Image enhancement (denoising, super-resolution), b uilding footprint extraction, r enewable asset detection, m ulti-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.

About the Team

Our Geospatial Team (Model Development Group) is responsible for developing critical geospatial datasets, exposure intelligence, and modeling components that underpin Moody's industry-leading catastrophe risk solutions used by more than 400 clients worldwide. By joining our team, you will be part of exciting work in developing geospatial datasets for catastrophe models, advancing AI-powered geospatial analytics, and delivering innovative solutions in renewable energy intelligence, event response, and damage assessment to support global risk insights and decision-making.

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody's Compliance Expo page

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee's tenure with Moody's.