Machine Learning Manager Jobs in North Carolina
Machine Learning Manager jobs in North Carolina are in strong and growing demand, concentrated in financial technology, pharmaceutical research, software development, and defense analytics, with openings at every level from team lead through senior director. The heaviest hiring is in Charlotte, the Research Triangle (Raleigh-Durham-Chapel Hill), and Asheville, where employers such as Bank of America, Red Hat, and SAS Institute maintain deep technical teams and regularly recruit for machine learning leadership. The most sought-after specialties in North Carolina are NLP systems management, MLOps pipeline oversight, and applied AI for regulated industries such as biopharma and fintech. 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 22 Machine Learning Manager Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Machine Learning Manager JobsMachine Learning Manager Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Machine Learning Manager 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 manager jobs across North Carolina.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Five or more years of applied machine learning or data science experience including team leadership
- Demonstrated experience managing the full machine learning lifecycle from research to production deployment
- Proficiency in Python and familiarity with major ML frameworks such as TensorFlow or PyTorch
- Experience collaborating with cross-functional stakeholders to translate business problems into ML solutions
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for scalable model deployment
Machine Learning Manager Jobs in North Carolina: Frequently Asked Questions
How do you become a machine learning manager in North Carolina?
Machine learning manager roles in North Carolina do not require a state-issued license or registration. The typical path begins with a bachelor's degree in computer science, mathematics, or a related field, followed by several years working as a data scientist or ML engineer. North Carolina's strong university pipeline through NC State, Duke, and UNC-Chapel Hill feeds directly into technical roles at employers across the Research Triangle, and many managers enter leadership through internal promotions at those institutions' industry partners.
Which companies hire machine learning managers in North Carolina?
Employers hiring machine learning managers in North Carolina right now include RELX, LexisNexis Legal & Professional, and COVAR, based on current listings on Migrate Mate as of September 2026. North Carolina's mix of large financial institutions in Charlotte and life sciences and software firms in the Research Triangle means demand comes from a broad range of industries, not just technology companies.
Which North Carolina cities have the most machine learning manager jobs?
The cities with the most machine learning manager openings in North Carolina are Raleigh, Cary, and Durham. The Research Triangle anchors a large share of openings because of the density of technology firms, pharmaceutical companies, and university research partnerships in Raleigh, Durham, and Chapel Hill, while Charlotte's financial services sector drives consistent demand for ML leadership in risk modeling and fraud detection.
Are there remote machine learning manager jobs in North Carolina?
Yes, and more than most fields. About 43% of machine learning manager openings tied to North Carolina are remote or hybrid as of September 2026, reflecting how well-suited ML leadership work is to distributed team environments. Strategic work such as roadmap planning, model review, and stakeholder communication is especially common in fully remote arrangements, while hands-on infrastructure work or regulated-data environments tend to require at least some on-site presence.
How can I get hired as a machine learning manager in North Carolina with little or no experience?
The most realistic entry path is moving into ML leadership from a strong individual contributor role such as data scientist, ML engineer, or analytics engineer. Employers across the Research Triangle, particularly in pharma and software, regularly promote from within and hire senior IC candidates who show team mentorship experience. Building a portfolio of end-to-end ML projects, contributing to open-source work, and pursuing credentials such as AWS Machine Learning Specialty or Google Professional ML Engineer strengthens candidacy at North Carolina employers where formal managerial experience is limited.
Where can I find and apply to machine learning manager jobs in North Carolina?
You can find and apply to machine learning manager jobs in North Carolina on Migrate Mate, which lists current openings from employers hiring in the state right now. Find roles that fit your experience and location preference and apply directly to the ones that match.
See All 22 Machine Learning Manager Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Machine Learning Manager Jobs