Machine Learning Internship Summer 2027
Durham, NC
- Pay
- Pay not listedSimilar roles state $165K–$240K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingWork with data and develop machine learning algorithms
Evaluate results and write production code for real-world systems
Present your work to CoVar or customers at the end of the internship
From the employer’s posting
You will work with data, develop algorithms, evaluate results
evaluate results, and write the production code that goes onto real-world systems
Concludes with you presenting your work either internally to CoVar or externally to the customer
What you’ll bring
All qualificationsCore experience
- Understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves)
- Pursuing a B.S., preferably M.S. or Ph.D., in engineering, math, computer science, or related field
- Excellent technical communication skills
- US citizenship and ability to work in Durham, NC
Qualification wording
Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary.
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)
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
- NumPy
- pandas
- PyTorch
Source — Tool mentions in context
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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 19, 2026 · 42 days ago
- Recorded sightings
- 24
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Sep 16, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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
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