H-1B Visa AI ML Engineer Jobs
AI ML Engineer roles qualify as H-1B visa specialty occupations under the computer occupations category, requiring at least a bachelor's degree in computer science, data science, or a related field. Employers filing H-1B petitions for these roles must certify a prevailing wage through the DOL before USCIS adjudicates the petition.
Find H-1B Visa AI ML Engineer JobsOverview
Showing 5 of 2,223+ AI ML Engineer jobs
See all 2,223+ AI ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineer roles.
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. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
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. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
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.
See all 2,223+ H-1B Visa AI ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa AI ML Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI ML Engineer
Align your degree to the role
USCIS scrutinizes whether your degree field directly relates to AI or ML engineering. A computer science or data science degree maps cleanly. If yours is adjacent, prepare documentation showing relevant coursework, projects, or transcripts before applying.
Target employers with active LCA filings
Search DOL Labor Condition Application disclosure data for employers who have recently certified LCAs under SOC code 15-2051 (Data Scientists) or 15-1252 (Software Developers). Recent filings confirm the employer has filed for this role type before.
Use Migrate Mate to filter by sponsorship history
Pull up AI ML Engineer roles on Migrate Mate and filter by verified H-1B filing history. That narrows your list to employers who have already navigated the LCA and petition process for this occupation, not just those who say they're open to sponsorship.
Clarify the SOC code before the LCA is filed
Ask your recruiting contact which SOC code the employer intends to use on the LCA. Mismatches between your job duties and the filed SOC code are a common RFE trigger. Getting this right before filing avoids delays after your start date is set.
Request premium processing if your start date is fixed
USCIS offers premium processing on I-129 petitions, reducing adjudication to 15 business days. If your offer has a specific start date tied to a project or team onboarding cycle, ask the employer to include premium processing in the petition from the outset.
Verify the prevailing wage level before negotiating
Run your job title and work location through the OFLC Wage Search to see the Level I through Level IV prevailing wages. Employers must certify at least the applicable level. Knowing the floor prevents you from negotiating into a wage the employer can't legally certify.
H-1B Visa AI ML Engineer: Frequently Asked Questions
Does an AI ML Engineer role qualify as an H-1B specialty occupation?
Yes. AI ML Engineer positions fall under computer and information technology occupations, which USCIS consistently recognizes as specialty occupations requiring at least a bachelor's degree in a directly related field such as computer science, data science, statistics, or electrical engineering. Roles combining model development, applied research, or production ML systems have a strong track record of approval when the employer documents the degree requirement in the Labor Condition Application and petition.
Which employers sponsor H-1B visas for AI ML Engineer roles?
Technology companies, financial services firms, healthcare systems, and large enterprises with dedicated data or AI teams are consistent H-1B sponsors for this role. The most reliable way to identify them is through DOL Labor Condition Application disclosure data, which shows actual filings by employer and occupation. Migrate Mate surfaces this data directly so you can browse verified AI ML Engineer roles at employers with confirmed H-1B filing history.
What documents should I prepare before an employer starts the H-1B filing process?
You'll need official degree transcripts, your diploma or degree certificate, and a current resume with detailed job duties. If your degree is from outside the United States, a credential evaluation from a NACES-member organization is typically required. USCIS may also ask for evidence linking your degree field to AI or ML specifically, so gather course descriptions or a letter from your academic institution explaining the curriculum's relevance to the role.
Can I switch AI ML Engineer jobs while on H-1B status?
Yes, under AC21 portability rules, you can change employers after your I-140 has been approved for 180 days and the new role is in the same or a similar occupational classification. For employer changes before that threshold, the new employer must file a new H-1B petition before you start work. Because portability rules hinge on SOC code alignment, confirm that your new AI ML Engineer role maps to the same occupation code as your original petition.
How does the H-1B lottery affect AI ML Engineer job seekers?
The annual H-1B cap covers 65,000 regular-cap slots plus 20,000 reserved for U.S. master's degree holders. If you hold a master's in computer science, data science, or a related field from a U.S. institution, you're eligible for both pools, increasing your selection odds. Cap-exempt employers, including universities and certain nonprofit research organizations, can file outside the lottery entirely, which is worth factoring into your employer targeting strategy.