Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll bring

Core experience

Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary.
Ability to work in Durham, NC (relocation assistance available)
Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued.

Qualification wording

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.

Ability to work in Durham, NC (relocation assistance available)

Education & alternatives

- 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

Tools in this posting

Python
pandas
NumPy
PyTorch

Source

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

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.

About CoVar

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.

In the employer’s words · Read in context

Job description

View original 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

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

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Source & posting history

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Source excerpts

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Pay: No pay amount identified in the saved description.
Location & working pattern: Durham, NC
- Flexible work schedule - Hybrid policy (in office at least 3x per week) Email us: careers@covar.com Visit us: www.covar.com
Work authorization: - Ability to work in Durham, NC (relocation assistance available) - Work authorization: US citizen Bonus skills

Open source at job-boards.greenhouse.io ↗Read the full description ↓