AI ML Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's AI/ML engineering market is anchored by Research Triangle Park, home to major employers like IBM, Lenovo, and Red Hat, alongside a growing fintech and biotech corridor in Charlotte and Durham. Companies here regularly sponsor H-1B visa and O-1 visas for qualified candidates, with strong university pipelines from NC State, Duke, and UNC Chapel Hill feeding regional demand.
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Get Access To All JobsINTRODUCTION
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Edge ML Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
EXPERIENCE REQUIRED
6+ years
JOB SUMMARY
We are looking for an Edge ML Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs.
REQUIRED QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- Six or more years of experience in ML engineering, with significant work on edge or mobile AI
- Strong proficiency in Python and C++
- Hands-on experience with model compression, quantization, and pruning techniques
- Experience with at least one major edge inference framework
- Solid understanding of mobile and embedded hardware architectures
- Experience deploying ML models to production on mobile or embedded platforms
- Strong performance engineering and profiling skills
- Familiarity with on-device privacy and security considerations
- Strong communication and cross-functional collaboration skills
PREFERRED QUALIFICATIONS
- Experience with custom NPU or DSP toolchains
- Familiarity with federated learning or on-device personalization
- Exposure to safety-critical or industrial edge deployments
- Open-source contributions to edge AI frameworks
- Experience optimizing LLMs for on-device inference
HOW TO APPLY
Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545.
Bright Vision Technologies is an Equal Opportunity Employer.
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
INTRODUCTION
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Edge ML Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
EXPERIENCE REQUIRED
6+ years
JOB SUMMARY
We are looking for an Edge ML Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs.
REQUIRED QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- Six or more years of experience in ML engineering, with significant work on edge or mobile AI
- Strong proficiency in Python and C++
- Hands-on experience with model compression, quantization, and pruning techniques
- Experience with at least one major edge inference framework
- Solid understanding of mobile and embedded hardware architectures
- Experience deploying ML models to production on mobile or embedded platforms
- Strong performance engineering and profiling skills
- Familiarity with on-device privacy and security considerations
- Strong communication and cross-functional collaboration skills
PREFERRED QUALIFICATIONS
- Experience with custom NPU or DSP toolchains
- Familiarity with federated learning or on-device personalization
- Exposure to safety-critical or industrial edge deployments
- Open-source contributions to edge AI frameworks
- Experience optimizing LLMs for on-device inference
HOW TO APPLY
Would you like to know more about this opportunity? For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545.
Bright Vision Technologies is an Equal Opportunity Employer.
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
AI ML Engineer Job Roles in North Carolina
See all 518+ AI ML Engineer Jobs in North Carolina
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Search AI ML Engineer Jobs in North CarolinaAI ML Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in North Carolina?
Several large employers in North Carolina have established H-1B sponsorship records for AI/ML roles. IBM and Lenovo maintain significant engineering operations in Research Triangle Park, and SAS Institute in Cary actively hires machine learning talent. Charlotte-based companies in financial services and healthcare IT, including Bank of America and Atrium Health's technology divisions, have also sponsored AI/ML engineers through the H-1B program.
Which visa types are most common for AI ML engineer roles in North Carolina?
The H-1B is the most common visa category for AI/ML engineers in North Carolina, as these roles generally qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. The O-1A is an option for candidates with demonstrated exceptional ability or achievement. Candidates with Canadian or Mexican citizenship may also qualify under the TN visa category for computer-related roles.
Which cities in North Carolina have the most AI ML engineer sponsorship jobs?
Research Triangle Park and its surrounding cities, Raleigh, Durham, and Cary, account for the largest share of AI/ML engineering sponsorship activity in North Carolina, driven by the concentration of technology, pharmaceutical, and enterprise software companies in that corridor. Charlotte is the second-largest hub, particularly within financial services and healthtech. Smaller pockets of activity exist near university campuses in Chapel Hill and Greensboro.
How to find ai ml engineer visa sponsorship jobs in North Carolina?
Migrate Mate is built specifically for international candidates searching for visa-sponsored roles, including AI/ML engineering positions in North Carolina. You can filter jobs by state and role to see employers who have active sponsorship history in this field. Because the platform focuses exclusively on sponsorship-friendly opportunities, it saves time compared to manually sorting through postings that don't address visa requirements.
Are there any state-specific considerations for AI ML engineers seeking sponsorship in North Carolina?
North Carolina's concentration of research institutions, including NC State's computer science and data science programs and Duke's AI initiatives, creates a strong local talent pipeline that employers draw from. This also means sponsoring employers in the state are accustomed to working with international graduates on OPT and STEM OPT extensions before transitioning to H-1B. The state's life sciences and fintech sectors tend to have longer-term sponsorship commitments compared to contract-heavy tech staffing arrangements.
What is the prevailing wage for sponsored ai ml engineer jobs in North Carolina?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.