H-1B Visa Sr Staff Machine Learning Engineer Jobs
Sr Staff Machine Learning Engineer roles sit in H-1B visa specialty occupation territory, requiring a directly related bachelor's degree or higher in computer science, statistics, or a closely aligned field. Employers file an LCA with DOL before sponsoring, and most large tech and AI-focused companies have active H-1B filing histories for this level.
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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 2,049+ H-1B Visa Sr Staff Machine Learning Engineer Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Sr Staff Machine Learning Engineer
Align your degree to the role
USCIS scrutinizes specialty occupation claims at the staff and principal engineer level. Make sure your degree field maps directly to ML engineering, not just software or data broadly. A credential evaluation helps if your degree is from outside the U.S.
Target employers with LCA filing history
Use Migrate Mate to filter for companies that have filed H-1B LCAs for machine learning or AI engineering roles, so you're applying to employers who've already demonstrated sponsorship willingness at this seniority level.
Check the prevailing wage before negotiating
At Sr Staff level, your offered salary must meet DOL's Level III or IV wage for your job's SOC code in your metro area. Run the OFLC Wage Search before you receive an offer so you know the floor and can negotiate from an informed position.
Ask about cap-exempt status early
Universities, nonprofit research institutions, and certain government-affiliated labs are cap-exempt, meaning your H-1B can start any time of year without waiting for the October 1 lottery start date. Confirm the employer's exemption status during early interview stages.
Front-load your publication and patent record
USCIS often issues RFEs for staff-level ML roles challenging whether the position requires a specific degree rather than any bachelor's. A documented record of peer-reviewed work, patents, or model deployments tied to your title strengthens the specialty occupation argument.
Understand the 60-day grace period timeline
If your current H-1B employer initiates layoffs or termination, USCIS allows a 60-day grace period to find a new sponsoring employer, file a change of status, or depart. At Sr Staff level, premium processing your new I-129 can compress that timeline significantly.
H-1B Visa Sr Staff Machine Learning Engineer: Frequently Asked Questions
Does a Sr Staff Machine Learning Engineer role qualify as an H-1B specialty occupation?
Yes, in most cases. USCIS classifies specialty occupation roles as those requiring at least a bachelor's degree in a directly related field. Sr Staff ML Engineer positions typically require a degree in computer science, mathematics, or statistics. If the job description accepts any bachelor's degree, that weakens the specialty occupation argument and can trigger an RFE, so the job posting's language matters.
Which SOC code applies to Sr Staff Machine Learning Engineer for H-1B purposes?
Most Sr Staff ML Engineer roles are filed under SOC 15-2051 (Data Scientists) or 15-1299 (Computer Occupations, All Other), though some employers use 15-1252 (Software Developers) depending on the role's emphasis. The SOC code determines which prevailing wage level applies, so verifying it with your employer before the LCA is filed affects your salary floor directly.
How do I find employers actively sponsoring H-1B visas for ML engineering roles at this level?
Browse Migrate Mate to see companies with verified H-1B LCA filing history filtered by ML and AI engineering roles. DOL disclosure data shows which employers have recently filed LCAs at the Staff and Principal Engineer wage levels, giving you a concrete shortlist of sponsors rather than relying on company career pages that don't disclose sponsorship intent upfront.
Can I transfer my H-1B to a new employer if I'm already a Sr Staff ML Engineer?
Yes. H-1B portability under AC21 lets you start working for a new employer as soon as they file a new I-129 petition on your behalf, as long as your current H-1B has been approved for at least 180 days. The new employer must file a new LCA matching your role's SOC code and the prevailing wage for your work location before filing the transfer petition.
What makes an RFE more likely for a Sr Staff Machine Learning Engineer H-1B petition?
USCIS issues RFEs when the job description doesn't clearly require a degree in a specific field, when the SOC code used has a high variance in educational requirements, or when the offered salary falls at a wage level inconsistent with a senior individual-contributor role. Including detailed job duties tied to your degree field, along with evidence of prior approvals or O*NET occupation data, helps the employer build a stronger petition.