H-1B Visa ML Research Engineer Jobs
ML Research Engineer roles qualify as H-1B visa specialty occupations under the computer and mathematical sciences category, requiring at least a bachelor's degree in computer science, machine learning, or a directly related field. Most research-focused positions at labs and tech companies have active H-1B filing histories, making this one of the more sponsorship-accessible paths for international candidates.
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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 2,032+ H-1B Visa ML Research Engineer Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a ML Research Engineer
Frame your research portfolio for specialty occupation
USCIS evaluates whether your role requires a specific theoretical body of knowledge. Document how your ML research draws on advanced mathematics, statistics, or computer science, not just engineering execution. Peer-reviewed publications and patent filings strengthen this directly.
Check LCA filings before applying
Use Migrate Mate to filter employers by verified H-1B Labor Condition Application history in ML and research roles. This surfaces companies that have already cleared DOL prevailing-wage certification for positions matching your target job code, not just companies that sponsor in general.
Target cap-exempt employers strategically
Universities, nonprofit research institutions, and certain government-affiliated labs are exempt from the annual H-1B cap and lottery. If your research background fits academic or applied science contexts, these employers can file for you any time of year without a registration slot.
Verify your wage tier before negotiating an offer
Your employer's LCA must certify your salary at the DOL prevailing wage for your SOC code and work location. Look up the wage level for ML Research Engineer roles in your target metro using the OFLC Wage Search before accepting an offer, so you know the floor your employer must meet.
Request premium processing if your start date is tight
USCIS offers premium processing for H-1B petitions, reducing adjudication to 15 business days. For ML Research Engineer roles starting after an OPT expiration or mid-year transition, confirm with your employer that they'll request it, standard processing can run five to seven months.
Align your job description to your O*NET profile
The O*NET profile for ML Research Engineer roles lists specific knowledge domains and skill requirements USCIS reviewers reference during specialty occupation adjudication. Ask your employer to ensure the job description mirrors this language to reduce the risk of a Request for Evidence.
H-1B Visa ML Research Engineer: Frequently Asked Questions
Does an ML Research Engineer role qualify as an H-1B specialty occupation?
Yes. ML Research Engineer positions fall under the computer and mathematical sciences occupational category, which USCIS consistently recognizes as a specialty occupation. The role must require at least a bachelor's degree in a directly related field such as computer science, machine learning, statistics, or applied mathematics. Roles that accept any degree or treat the degree requirement as a preference rather than a requirement can face challenges during adjudication.
Which types of employers sponsor H-1B visas for ML Research Engineer roles?
Large technology companies, AI-focused startups, national laboratories, and research universities are the most active sponsors for ML Research Engineer positions. Universities and nonprofit research institutions are cap-exempt, meaning they can file H-1B petitions outside the lottery window. You can browse employers with verified H-1B filing history for research and ML roles on Migrate Mate, filtered by location and job function.
How does the H-1B lottery affect ML Research Engineer job seekers?
The annual H-1B cap covers most private-sector employers, with registrations typically open in March for an October 1 start date. USCIS selects registrations by random lottery when demand exceeds the 85,000 available slots. If you're targeting cap-exempt employers like universities or federally funded research labs, the lottery doesn't apply and your employer can file any time your position is ready.
What documents should I prepare before an employer files my H-1B petition?
You'll need your highest academic credentials with translations if applicable, your current immigration status documents, and a detailed resume aligned to the specialty occupation definition. For ML Research Engineer roles, supporting evidence such as published research, conference proceedings, or patents helps establish that your position requires specialized theoretical knowledge. Your employer's attorney typically compiles the petition, but your documentation package directly affects adjudication speed.
Can I switch ML Research Engineer employers after my H-1B is approved?
Yes, under H-1B portability rules established by AC21, you can transfer your H-1B to a new employer once your petition has been pending or approved for at least 180 days, provided the new role is in the same or a similar occupational classification. Your new employer files an H-1B transfer petition and you can begin work once they receive the receipt notice, without waiting for final approval.