Machine Learning Intern Jobs in North Carolina
Machine Learning Intern jobs in North Carolina concentrate in research computing, financial technology, and life sciences, with strong demand from the Research Triangle and Charlotte metro areas as well as Raleigh's growing tech corridor. IBM, SAS Institute, and Lenovo North America are among the established employers with lasting intern programs in the state. The most sought-after specialties are natural language processing, computer vision, and predictive modeling applied to healthcare and fintech data. Find a role that fits below and apply directly.
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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
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
See All 21 Machine Learning Intern Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Machine Learning Intern JobsMachine Learning Intern Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Machine Learning Intern Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Telecommunications
- Electronics & Hardware
What North Carolina Employers Look For
The qualifications that appear most often in machine learning intern jobs across North Carolina.
- Current enrollment in a bachelor's or master's degree program in computer science, statistics, or related field
- Proficiency in Python and at least one machine learning framework such as TensorFlow or PyTorch
- Experience building and evaluating supervised or unsupervised learning models through coursework or projects
- Familiarity with data wrangling tools including pandas, NumPy, and SQL for structured datasets
- Ability to communicate model results and methodology clearly to technical and non-technical stakeholders
- Exposure to cloud platforms such as AWS, Google Cloud, or Azure for model training and deployment
Machine Learning Intern Jobs in North Carolina: Frequently Asked Questions
How do you become a machine learning intern in North Carolina?
The most direct path is active enrollment in a computer science, data science, statistics, or engineering program at a North Carolina university such as NC State, UNC Chapel Hill, or Duke, as nearly all North Carolina employers require current student status. No state-issued license applies to this role. A strong portfolio of completed ML projects on GitHub, participation in Kaggle competitions, and relevant coursework in linear algebra and probability meaningfully strengthen your candidacy.
Which companies hire machine learning interns in North Carolina?
Companies currently hiring machine learning interns in North Carolina include RELX, LexisNexis Legal & Professional, and COVAR, per current listings on Migrate Mate as of September 2026. North Carolina's Research Triangle concentration of technology, pharmaceutical, and financial services firms makes it one of the more active intern hiring markets in the Southeast.
Which North Carolina cities have the most machine learning intern jobs?
Raleigh, Cary, and Durham account for the largest share of machine learning intern openings in North Carolina. Raleigh and Durham anchor the Research Triangle cluster, where SAS Institute, IBM, and multiple life sciences companies maintain large technical offices, while Charlotte draws openings from its financial services and healthcare technology sectors.
Are there remote machine learning intern jobs in North Carolina?
Yes, and more than most fields, because machine learning intern work is largely analytical and code-based rather than requiring physical presence. About 43% of machine learning intern openings tied to North Carolina are remote or hybrid as of September 2026, reflecting the desk-based nature of model development and data analysis. Roles involving proprietary datasets or regulated healthcare data tend to require on-site or hybrid arrangements.
How can I get hired as a machine learning intern in North Carolina with little or no experience?
The most realistic entry path is applying through university career centers at NC State, UNC Chapel Hill, or Duke, which maintain direct recruiting pipelines with Research Triangle employers. SAS Institute and IBM Research Triangle Park both run structured intern programs that accept students earlier in their degree programs. Building a portfolio of end-to-end projects in Python, contributing to open-source ML repositories, and completing free coursework through a recognized MOOC platform can compensate for limited professional experience.
Where can I find and apply to machine learning intern jobs in North Carolina?
You can find and apply to machine learning intern jobs in North Carolina on Migrate Mate, which lists current openings tied to the state. Find roles that fit your background and apply directly from the listing.
See All 21 Machine Learning Intern Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
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