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Machine Learning Internship Summer Durham, NC

Job in Durham, Durham County, North Carolina, 27703, USA
Listing for: CoVar, LLC
Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 20 - 30 USD Hourly USD 20.00 30.00 HOUR
Job Description & How to Apply Below

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
  • 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 tomid-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 Num Py , 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 ( Res Net , Res Next ) , object detection (e.g., YOLO, Center Net ) , 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.

  • Software expertise:
    Python and associated numerical and analytics packages ( Num Py , 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)
  • Department of War project experience
  • Competitive hourly wages
  • Hybrid policy (in office at least 3x per week)

Eligibility for a US security clearance is required for this role, and that requires US citizenship.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.

Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in CoVar’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.

As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected…

Position Requirements
Less than 1 Year work experience
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