Machine Learning Intern

We build advanced software and machine learning systems that help the DoW detect threats in high-stakes environments and enable biomedical researchers to accelerate discoveries that save lives.

Our team is composed of curious, passionate engineers who care deeply about using AI to solve real-world problems that matter. Internship Overview • 8-12 weeks – flexible, depending on your schedule • In-person in Durham, NC • Competitively paid internship • 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 • Concludes with you presenting your work either internally to CoVar or externally to the customer Interview Timeline • Accepting applications online from now to mid-November 2026 • Interviews starting in September 2026 • Interview steps consist of a video screening and a code screening • Offers out by end of November 2026 About the 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 may have the opportunity to present your work to high-level customer s in the Do W and in the industry.

Qualifications Applicants should have e xpertise in P ython (including NumPy , pandas , and other packages) and P y T orch . 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 some computer vision algorithms (e.

g., for object classification ( ResNet , ResNext ) , object detection (e.g., YOLO, CenterNet ) , or image segmentatio n ) and /or other modern image processing AI/ML techniques (vision image transformers, vision language models, etc.

) . Previous experience with Do W 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 ; D eep 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 Bonus skills • Department of War project experience Benefits • Competitive hourly wages • Flexible work schedule • Hybrid policy (in office at least 3x per week) Email us: careers@covar.

com Visit us: www.covar.