Machine Learning Internship Summer 2027

CoVar is a mission-driven AI and machine learning R&D software company. The Machine Learning Intern will develop software and machine learning algorithms for real-world customer problems by working with data, developing and evaluating algorithms, and writing production code for deployment on real-world systems.

What you'll do:

• You will help CoVar develop software and machine learning algorithms to solve real-world customer problems
• You will work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems
• You may have the opportunity to present your work to high-level customers in the DoW and in the industry

What they're looking for:

• Applicants should have expertise in Python (including NumPy, pandas, and other packages) and PyTorch
• Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary
• Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued
• Software expertise: Python and associated numerical and analytics packages (NumPy, pandas, etc.); git; PyTorch
• AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc
• Pursuing B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field
• Excellent technical communication skills
• Ability to work in Durham, NC (relocation assistance available)
• Work authorization: US citizen
• Applicants are ideally familiar with some computer vision algorithms (e.g., for object classification (ResNet, ResNext), object detection (e.g., YOLO, CenterNet), or image segmentation) and/or other modern image processing AI/ML techniques (vision image transformers, vision language models, etc.)
• Previous experience with DoW customers is a plus
• Department of War project experience

Benefits:

• Flexible work schedule
• Hybrid policy (in office at least 3x per week)
• Relocation assistance available
• Matched with one project based on your current expertise and interests
• Paired with an advisor or project lead who will guide you and help you set and meet your goals