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Machine Learning Internship - Summer 2026

Durham, United States

***If you have questions about the internship or the status of your application, please send an email with the subject line "2026 SUMMER INTERNSHIP" to rkalika@covar.com.***

Machine Learning Internship

About CoVar

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.

Internship Overview

8-12 weeks – flexible, depending on your schedule
In-person in Durham, NC
Paid internship
Matched with one project based on your current expertise and interests
Paired with an advisor who will guide you and help you set and meet your goals
Concludes with you presenting your work either internally to CoVar or externally to the customer

Interview Timeline

Accepting applications online from now to December 31t
Interviews in January and February
- Interviews steps consist of a video screening, code screening, and potentially an ML technical interview
Offers out by the end of February

About this position

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 will have the opportunity to present your work to high-level customers in the DoD and in the industry.

Qualifications

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. Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques. Previous experience with DoD customers is a plus.

Minimum qualifications

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
Work authorization: US citizen

Bonus skills