Machine Learning Jobs in North Carolina
Machine learning jobs in North Carolina are in strong demand, concentrated in research computing, financial services, life sciences, and advanced manufacturing, with openings at every level from junior data scientist to principal ML engineer. The largest hiring metros are the Research Triangle (Raleigh, Durham, Chapel Hill), Charlotte, and Greensboro, home to established employers like Bank of America, Red Hat, and Lenovo North America. The most sought-after specialties are natural language processing, computer vision, and MLOps infrastructure. 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 33 Machine Learning Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Machine Learning JobsMachine Learning Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Machine Learning 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
- Electronics & Hardware
- Telecommunications
What North Carolina Employers Look For
The qualifications that appear most often in machine learning jobs across North Carolina.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying production machine learning models
- Familiarity with cloud platforms including AWS SageMaker, Azure ML, or Google Vertex AI
- Ability to work with large structured and unstructured datasets using SQL or Spark
- Strong communication skills to present model results to non-technical North Carolina business stakeholders
Machine Learning Jobs in North Carolina: Frequently Asked Questions
How do you become a machine learning engineer in North Carolina?
North Carolina does not require a state-issued license to work in machine learning. Most employers in the Research Triangle and Charlotte hire candidates with a bachelor's degree in computer science, mathematics, or engineering, though a master's degree is preferred for research-focused roles at universities and life sciences companies. Building a portfolio of deployed models and contributing to open-source projects strengthens competitiveness in North Carolina's research-heavy hiring market.
Which companies hire machine learning engineers in North Carolina?
Employers hiring machine learnings in North Carolina right now include RELX, LexisNexis Legal & Professional, and Apple, based on current listings on Migrate Mate as of September 2026. North Carolina's concentration of major banks in Charlotte and research institutions in the Triangle means both financial-sector AI teams and academic spinouts are consistently active.
Which North Carolina cities have the most machine learning jobs?
Raleigh, Cary, and Charlotte lead North Carolina for machine learning openings. The Research Triangle dominates because of its dense cluster of universities, federal research labs, and tech companies, while Charlotte's growth reflects demand from its large financial services and fintech sector, and smaller metros like Greensboro and Cary attract roles tied to regional headquarters and advanced manufacturing operations.
Are there remote machine learning jobs in North Carolina?
Yes, and more than most fields. About 42% of machine learning openings tied to North Carolina are remote or hybrid as of September 2026, reflecting that most of the work happens on cloud infrastructure rather than on-site hardware. Model development, experimentation, and data pipeline work are especially well-suited to fully remote arrangements, while on-site presence is more common for roles embedded with hardware or clinical teams.
How can I get hired as a machine learning engineer in North Carolina with little or no experience?
The most realistic entry path is a graduate research assistantship or internship at one of the Research Triangle's universities, including NC State, Duke, or UNC Chapel Hill, which feed directly into industry roles. Large North Carolina employers like Red Hat and SAS Institute run associate engineer and early-career data science programs for new graduates. Building a public portfolio of end-to-end projects and earning a cloud ML certification gives candidates a measurable edge when applying for junior ML or data engineering positions.
Where can I find and apply to machine learning jobs in North Carolina?
You can find and apply to machine learning jobs in North Carolina on Migrate Mate, which lists current North Carolina openings updated regularly. Find roles that fit your experience and specialty, then apply directly to each employer through the listing.
See All 33 Machine Learning Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
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