H-1B Visa ML Software Engineer Jobs
ML Software Engineer roles sit squarely inside H-1B visa specialty occupation territory, requiring at least a bachelor's degree in computer science, mathematics, or a closely related field. Employers filing H-1B petitions for these positions must certify prevailing wages through a DOL Labor Condition Application before USCIS adjudicates the petition.
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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. 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 2,011+ H-1B Visa ML Software Engineer Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a ML Software Engineer
Align your credentials to specialty occupation standards
USCIS scrutinizes whether your degree field directly relates to ML engineering. A computer science or statistics degree maps cleanly. A business degree with self-taught ML skills often triggers a Request for Evidence, so document every relevant coursework and certification upfront.
Search LCA filing history before applying
Use Migrate Mate to filter employers by verified H-1B Labor Condition Application filings for ML and software engineering roles. This surfaces companies that have already cleared DOL certification for these positions, not just those with a vague sponsorship policy.
Target cap-exempt employers to skip the lottery
Universities, nonprofit research institutions, and government-affiliated entities are cap-exempt, meaning they can file your H-1B petition any time without entering the annual lottery. ML roles in academic AI labs and federally funded research centers qualify under this path.
Verify prevailing wage tier before negotiating your offer
Run your job title and location through the OFLC Wage Search before salary discussions. Your offered wage must meet at least Level I prevailing wage. Accepting below the certified wage level forces your employer to refile the LCA, delaying your petition.
Confirm your employer's E-Verify enrollment early
If you're on STEM OPT and transitioning to H-1B, your current employer must be E-Verify enrolled for your OPT extension to remain valid. Check enrollment status before your OPT end date, not after cap-gap kicks in.
Request premium processing if your start date is tight
USCIS offers premium processing for H-1B petitions, guaranteeing a decision within 15 business days. For ML roles with offers tied to project kickoffs or fiscal-year headcount, this prevents your start date from slipping past the October 1 cap-subject effective date.
H-1B Visa ML Software Engineer: Frequently Asked Questions
Does an ML Software Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. ML Software Engineer roles consistently qualify as specialty occupations because they require theoretical and applied knowledge in computer science, statistics, or a related technical field at the bachelor's level or higher. USCIS evaluates the actual job duties, not just the title. If your role involves model training, deployment pipelines, or algorithmic research, the specialty occupation standard is typically met. Employers should document the degree requirement explicitly in the petition.
How do I find employers who actively sponsor H-1B visas for ML roles?
The most reliable method is reviewing DOL Labor Condition Application disclosure data, which shows which employers have filed for ML and software engineering positions. Migrate Mate filters this data by occupation so you can identify companies with verified H-1B filing history for roles matching your background, rather than relying on employer self-reporting in job postings.
Can I use my STEM OPT cap-gap to keep working if I'm selected in the H-1B lottery?
Yes, if you're on a valid F-1 STEM OPT extension when your H-1B petition is filed and selected, cap-gap automatically extends your work authorization through September 30 of that year. Your employer must have a timely filed, approved petition pending. If USCIS issues a Request for Evidence, your cap-gap period continues while the response is pending.
What happens to my H-1B if my ML role shifts from software engineering to a research or management track?
A material change in job duties, location, or employer entity requires an amended H-1B petition. Moving from an individual contributor ML engineer role to a pure managerial position can raise specialty occupation concerns if the new duties no longer require a specific technical degree. Your employer should file an amendment before the role change takes effect, not after.
How does the prevailing wage requirement affect H-1B sponsorship for ML Software Engineers?
Your employer must certify through a DOL Labor Condition Application that your offered wage meets or exceeds the prevailing wage for your occupation, level, and geographic area. Prevailing wage is determined using O*NET occupation codes and wage data from the Bureau of Labor Statistics or an employer-submitted private survey. If the certified wage falls below your actual offer, the LCA still controls the minimum floor USCIS expects to see in the petition.