# Machine Learning Internship Summer 2027 at CoVar

- Company: [CoVar](https://covar.com)
- Location: Durham, NC
- Type: Internship · Internship
- Posted: 2026-09-16
- Apply: https://job-boards.greenhouse.io/covar/jobs/5240360007
- Page: https://newgrad.ai/jobs/machine-learning-internship-summer-2027-093796

## Summary by newgrad.ai

What you'll do:

- Develop machine learning algorithms and software to solve customer problems
- Work with data, build algorithms, evaluate results, and write production code
- Present work internally to CoVar or externally to customers

What they're looking for:

- Python expertise including NumPy, pandas, PyTorch, and git
- Strong machine learning fundamentals and computer vision knowledge preferred
- B.S. in engineering, math, computer science, or related field (M.S./Ph.D. preferred)
- US citizen able to work in Durham, NC; excellent technical communication skills

Pay and perks:

- Competitive hourly wages
- Flexible work schedule with hybrid policy (in-office 3+ days weekly)
- 8-12 weeks; relocation assistance available

## Posting

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)

Email us: careers@covar.com

Visit us: www.covar.com

From CoVar's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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More new-grad and intern roles: https://newgrad.ai/llms.txt