INTERNSHIP DETAILS

Machine Learning Internship Summer 2027

CompanyCoVar
LocationDurham
Work ModeOn Site
PostedSeptember 16, 2026
Internship Information
Core Responsibilities
You will develop software and machine learning algorithms to solve real-world customer problems. This includes working with data, evaluating results, and writing production code for real-world systems.
Internship Type
full time
Company Size
40
Visa Sponsorship
No
Language
English
Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page

About The Company
CoVar is a leader in machine learning and artificial intelligence solutions. We create customized algorithms that are revolutionizing problem-solving for defense, healthcare, and industry. See how our machine learning and software technologies can change the paradigm for your organization.
About the Role

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 NumPypandas, 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 (ResNetResNext), 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 (NumPypandas, 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)

Email us: careers@covar.com
Visit us: www.covar.com 

Key Skills
PythonNumPyPandasPyTorchMachine learning fundamentalsComputer visionGitObject classificationObject detectionImage segmentationNatural language processingBayesian modelsTechnical communicationGradient descentCross-validationLogistic regression
Categories
TechnologySoftwareData & AnalyticsEngineeringScience & Research
Benefits
Competitive hourly wagesFlexible work scheduleRelocation assistance