Computer Vision Engineer Jobs in USA with Visa Sponsorship
Computer Vision Engineers are among the most consistently sponsored roles in U.S. tech. Employers regularly file H-1B and O-1 petitions for this specialty, and the role qualifies as a specialty occupation given its requirement for a bachelor's degree or higher in computer science, electrical engineering, or a closely related field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users.
DESCRIPTION
We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.
Responsibilities:
- Lead efforts to adapt state-of-the-art algorithms, as well as design and implement new algorithms to solve challenging problems.
- Drive requirements and validation tests to ship models.
- Take a practical approach to problem solving and adapt to an evolving environment.
- Deliver clean, modular, testable algorithm code.
- Communicate and work effectively with cross-functional partners.
The ideal candidate should possess these qualities:
1) Be highly-motivated and take initiative to achieve goals, while delivering on schedule.
2) Has a sense of curiosity and willingness to learn.
MINIMUM QUALIFICATIONS
- 5+ years of experience working on ML projects for 3D computer vision or graphics applications.
- Strong software engineering skills and proficiency in Python and PyTorch.
- Comprehensive understanding of diffusion models, transformers and auto-encoders.
- Capable of making well-informed and practical decisions in a rapidly evolving environment.
- BA degree in computer vision, computer graphics, machine learning or related field.
PREFERRED QUALIFICATIONS
- Good software engineering skills and proficiency in C/C++.
- MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.
- Excellent communication and experience working with multi-functional teams.
- Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
INTRODUCTION
The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users.
DESCRIPTION
We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.
Responsibilities:
- Lead efforts to adapt state-of-the-art algorithms, as well as design and implement new algorithms to solve challenging problems.
- Drive requirements and validation tests to ship models.
- Take a practical approach to problem solving and adapt to an evolving environment.
- Deliver clean, modular, testable algorithm code.
- Communicate and work effectively with cross-functional partners.
The ideal candidate should possess these qualities:
1) Be highly-motivated and take initiative to achieve goals, while delivering on schedule.
2) Has a sense of curiosity and willingness to learn.
MINIMUM QUALIFICATIONS
- 5+ years of experience working on ML projects for 3D computer vision or graphics applications.
- Strong software engineering skills and proficiency in Python and PyTorch.
- Comprehensive understanding of diffusion models, transformers and auto-encoders.
- Capable of making well-informed and practical decisions in a rapidly evolving environment.
- BA degree in computer vision, computer graphics, machine learning or related field.
PREFERRED QUALIFICATIONS
- Good software engineering skills and proficiency in C/C++.
- MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.
- Excellent communication and experience working with multi-functional teams.
- Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
How to Get Visa Sponsorship as a Computer Vision Engineer
Target companies with active H-1B filing histories
Companies that have sponsored Computer Vision Engineers before are far more likely to do it again. Look for employers with established immigration infrastructure, large tech firms, autonomous vehicle companies, and defense contractors file consistently for this role.
Frame your degree field precisely on applications
USCIS approves H-1B petitions for Computer Vision Engineers most reliably when the degree is in computer science, electrical engineering, or robotics. Highlight the specific coursework and research that ties your academic background directly to the role.
Build a portfolio that demonstrates specialty-level work
Sponsorship decisions often come down to distinguishing a specialist from a generalist. Published research, open-source contributions, or deployed production systems in object detection, image segmentation, or 3D reconstruction make your sponsorship case substantially stronger.
Understand the H-1B cap timeline before you apply
Registration opens in March for an October 1 start date. If you miss the lottery, cap-exempt employers like universities and nonprofits can file year-round. Plan your job search around this window, especially if your OPT or status expires mid-year.
Consider employers in autonomous vehicles, robotics, and defense
These industries have the highest concentration of Computer Vision sponsorships outside of pure software companies. Companies building autonomous systems, surgical robots, or surveillance platforms file regularly and often have dedicated immigration teams ready to process petitions quickly.
Use Migrate Mate to find roles that explicitly offer sponsorship
Most job postings don't advertise sponsorship clearly, which wastes time. Migrate Mate filters specifically for employers willing to sponsor, so you're only seeing Computer Vision roles where visa support is already confirmed rather than something you have to negotiate.
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Get Access To All JobsFrequently Asked Questions
Does Computer Vision Engineer qualify as a specialty occupation for H-1B?
Yes. Computer Vision Engineering consistently meets USCIS's specialty occupation standard because the role requires at minimum a bachelor's degree in a specific technical field, typically computer science, electrical engineering, or applied mathematics. USCIS has approved H-1B petitions for this job title at high rates, particularly when the petition documents how the degree field directly applies to the specific computer vision work being performed.
Can I get sponsored as a Computer Vision Engineer without a computer science degree?
Potentially, but it requires a stronger petition. USCIS accepts degrees in electrical engineering, applied mathematics, or physics if your coursework covered relevant areas like signal processing, linear algebra, or machine learning. A degree in an unrelated field is difficult to defend. The stronger your academic alignment to the role, the lower your risk of an RFE. An immigration attorney can assess your specific combination of education and experience.
Which types of employers sponsor Computer Vision Engineers most often?
The highest-volume sponsors are large tech companies building autonomous systems, robotics firms, automotive manufacturers with self-driving programs, medical imaging companies, and defense contractors. Startups do sponsor but less predictably, they may lack dedicated immigration support and face higher petition scrutiny without an established filing history. Browse Migrate Mate to find Computer Vision roles from employers that have already committed to sponsorship.
Does a master's degree improve my chances of H-1B selection or approval?
Yes, on both fronts. Applicants with a U.S. master's degree or higher enter the H-1B master's cap pool, which has better selection odds than the general pool. A master's in computer science or a related field also makes your specialty occupation case cleaner for USCIS, reducing the chance of a Request for Evidence questioning whether the role genuinely requires a degree at that level.
Can an O-1A visa work for Computer Vision Engineers instead of H-1B?
Yes, and it's worth considering if you have a strong research profile. The O-1A requires evidence of extraordinary ability, published papers, citations, conference presentations, awards, or high compensation relative to peers all count. There's no lottery and no cap, so approval isn't subject to registration odds. Computer Vision researchers with academic publications or high-impact industry work are often stronger O-1A candidates than they realize.
What is the prevailing wage requirement for sponsored Computer Vision Engineer jobs?
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.
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