The Opportunity:
We are seeking a Data Science Intern to support the Foundation GEOINT division's AI/ML initiatives focused on computer vision and geospatial intelligence. This internship is designed for someone interested in applying deep learning and statistical methods to real-world remote sensing challenges. You'll work with satellite imagery and geospatial data to develop automated feature detection capabilities that support mapping and charting products for government customers. High-performing interns may have the opportunity to transition into a full-time data science role within Foundation GEOINT, with potential opportunities to also support the Mission & Engineering Support (M&ES) AI Expeditionary Team on customer-facing, mission-driven AI delivery.
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.
Qualifications:
Required:
· 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.
· Willing to work onsite in Fort Collins and/or Denver, CO with possible hybrid schedule.
· Familiarity with at least one ML/DL library (e.g., PyTorch, TensorFlow, scikit-learn).
· Curiosity, strong problem-solving skills, and good communication and documentation habits.
· Willing and able to obtain a security clearance (TS-SCI) for potential transition to full-time role.
Desired:
· Experience with computer vision tasks such as object detection, semantic segmentation, or image classification.
· Familiarity with computer vision toolsets (e.g., OpenCV, Torchvision, scikit-image, etc.).
· Familiarity with geospatial data formats (GeoTIFF, Shapefile, GeoJSON, etc.) and tools (GDAL, Rasterio, GeoPandas, QGIS, ArcGIS, etc.).
· Experience with annotation/labeling tools (e.g., CVAT, etc.).
· Experience with statistical modeling, experimental design, and model validation techniques.
· Understanding of uncertainty quantification and performance evaluation metrics for machine learning models.
· Working knowledge of containerization tools like Docker and orchestration platforms like Kubernetes for deploying and managing AI applications.
· AWS experience or certification.
· Experience with deployment/scaling of machine learning models in production environments.
· Experience with MLOps workflows and tools (e.g., Kubeflow, MLflow, Git-based version control).
· Prior internship/project experience delivering prototypes or research outcomes to stakeholders.
· Working knowledge with databases such as PostgreSQL, MySQL, MongoDB, and NoSQL databases.
· Experience designing, documenting, and debugging analytical pipelines and machine learning workflows.
-What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$39,900-$79,900CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
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