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Machine Learning Internship Summer 2027

CoVar
Durham, NC Posted Sep 16, 2026
Full-time

About this role

Job title: Machine Learning Internship Summer 2027

About CoVar

CoVar is a small, mission-driven AI/ML R&D software company based in Durham, NC and McLean, VA. 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 customers in the DoW 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 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.

  • 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 (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)

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