Data Science Intern supporting AI/ML initiatives within Foundation GEOINT. Working on computer vision and geospatial data analysis for government customers.
Responsibilities
Work within a small data science team to support an organization that produces mapping and charting products.
Assist in developing and evaluating deep learning models for computer vision-based feature extraction.
Work with overhead imagery and geospatial datasets to support automated feature detection pipelines.
Support annotation, preprocessing, and dataset curation workflows for training computer vision models.
Help assess model performance across diverse imagery conditions and support iterative improvement.
Document assumptions, experiment results, and recommendations in a way that makes the work repeatable and transferable.
Help translate technical findings into practical next steps for productization or mission integration.
Requirements
Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
Coursework or hands-on experience in AI/ML concepts (e.g., classification, clustering, deep learning, model evaluation, statistical inference), with exposure to image data or remote sensing data preferred.
Working knowledge of Python for data analysis and machine learning.
Familiarity with at least one ML/DL library (e.g., PyTorch, TensorFlow, scikit-learn).
Willing to work onsite in Fort Collins and/or Denver, CO with possible hybrid schedule.
Curiosity, strong problem-solving skills, and good communication and documentation habits.
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