Machine Learning Research Jobs in USA with Visa Sponsorship
Machine learning research roles attract strong H-1B visa sponsorship from tech companies, national labs, and AI-focused startups. Most positions require a master's or PhD in computer science or a related field, and employers regularly sponsor both H-1B and O-1A visas for qualified researchers. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsSUMMARY
We are hiring a researcher with a strong technical background in Image/Video generation and editing, as well as Multimodal Foundation Models. You will play a critical role in the research and development of multimodal foundation models for image/video/3D generation, editing, animation, and many more. As a member of the team, you will have the opportunity to develop fundamental model capabilities, collaborate with team members with diverse backgrounds to work on ambitious projects, and collaborate broadly across Apple with world-class engineers and researchers to advance our products and delight millions of users.
DESCRIPTION
As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, computer vision/graphics experience, and solid engineering skills in creating outstanding model capabilities and product features. This role will have the following responsibilities:
- Developing, fine-tuning, and evaluating foundational image generation and image editing models, as well as unified multimodal foundation models capable of both visual understanding and generation.
- Developing, fine-tuning, and evaluating domain-specific image generation and editing models for various tasks and applications in Apple’s AI-powered products.
- Conducting innovative research and transferring pioneering research in generative AI to production-ready technologies.
- Understanding product requirements, translating them into modeling tasks and engineering tasks.
MINIMUM QUALIFICATIONS
- PhD, MS or equivalent experience
- Experience in machine learning, deep learning and statistical modeling.
- Experience in developing models for computer vision tasks, such as object detection, visual question answering.
- Experience in image generation models, such as VAE, GAN, and diffusion models
- Proficiency in one of the following deep learning frameworks: PyTorch, Jax, Tensorflow
- Proficiency in one of following languages: Python, Go, Java, C++
PREFERRED QUALIFICATIONS
- Experience in developing state-of-the-art image generation/editing models.
- Good interpersonal skills and team player.
COMPENSATION
- Base pay range for this role is between $150,400 and $277,600, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
SUMMARY
We are hiring a researcher with a strong technical background in Image/Video generation and editing, as well as Multimodal Foundation Models. You will play a critical role in the research and development of multimodal foundation models for image/video/3D generation, editing, animation, and many more. As a member of the team, you will have the opportunity to develop fundamental model capabilities, collaborate with team members with diverse backgrounds to work on ambitious projects, and collaborate broadly across Apple with world-class engineers and researchers to advance our products and delight millions of users.
DESCRIPTION
As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, computer vision/graphics experience, and solid engineering skills in creating outstanding model capabilities and product features. This role will have the following responsibilities:
- Developing, fine-tuning, and evaluating foundational image generation and image editing models, as well as unified multimodal foundation models capable of both visual understanding and generation.
- Developing, fine-tuning, and evaluating domain-specific image generation and editing models for various tasks and applications in Apple’s AI-powered products.
- Conducting innovative research and transferring pioneering research in generative AI to production-ready technologies.
- Understanding product requirements, translating them into modeling tasks and engineering tasks.
MINIMUM QUALIFICATIONS
- PhD, MS or equivalent experience
- Experience in machine learning, deep learning and statistical modeling.
- Experience in developing models for computer vision tasks, such as object detection, visual question answering.
- Experience in image generation models, such as VAE, GAN, and diffusion models
- Proficiency in one of the following deep learning frameworks: PyTorch, Jax, Tensorflow
- Proficiency in one of following languages: Python, Go, Java, C++
PREFERRED QUALIFICATIONS
- Experience in developing state-of-the-art image generation/editing models.
- Good interpersonal skills and team player.
COMPENSATION
- Base pay range for this role is between $150,400 and $277,600, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
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Get Access To All JobsTips for Finding Machine Learning Research Jobs
Target employers with a research division, not just an ML team
Companies like Google DeepMind, Microsoft Research, and Meta FAIR file LCAs specifically for research scientist roles. These divisions have established sponsorship pipelines and dedicated immigration counsel, making the process faster and more predictable than smaller engineering teams.
A PhD significantly strengthens your H-1B specialty occupation case
USCIS scrutinizes whether machine learning research qualifies as a specialty occupation. A doctoral degree in computer science, statistics, or a related field removes most of that ambiguity and supports a cleaner petition, especially for research-focused roles without a product deliverable.
Published research and citations are O-1A evidence, not just resume polish
If you have peer-reviewed publications, conference presentations at NeurIPS or ICML, or high citation counts, document them carefully. These directly support O-1A criteria for original contributions and judging, giving you an alternative if H-1B lottery selection doesn't go your way.
National labs and universities sponsor without the H-1B lottery
Institutions like MIT Lincoln Laboratory, Argonne National Laboratory, and most research universities are cap-exempt H-1B employers. That means no lottery wait and year-round filing, which matters if you're on OPT with a ticking clock or between visa statuses.
Clarify whether the role is research or applied engineering before applying
Employers sometimes list "machine learning research" roles that are effectively product engineering positions. The distinction matters for visa framing. A role requiring original research and publication supports a stronger petition than one focused primarily on model deployment and infrastructure.
OPT STEM extension gives you 36 months to secure H-1B sponsorship
Machine learning research falls under CIP codes eligible for the 24-month STEM OPT extension. Combined with initial OPT, that's up to 36 months of work authorization, giving you three H-1B lottery cycles to find a sponsoring employer before needing another visa pathway.
Frequently Asked Questions
Do machine learning research roles commonly get H-1B sponsorship?
Yes. Machine learning research is among the most actively sponsored role categories in the H-1B visa program. Tech companies, AI startups, and research institutions file thousands of LCAs annually for these positions. The role's clear degree requirement in computer science, statistics, or a related field satisfies USCIS specialty occupation standards reliably, making denials on that basis relatively uncommon for genuine research positions. Browse open roles on Migrate Mate to find employers with active sponsorship histories.
Does my degree field need to match machine learning research specifically?
Not exactly, but it needs to be directly related. A bachelor's or advanced degree in computer science, electrical engineering, statistics, applied mathematics, or data science typically satisfies the H-1B specialty occupation requirement for ML research roles. A degree in an unrelated field, even with significant self-taught ML skills, creates petition risk. USCIS looks for a direct relationship between the field of study and the duties of the role.
Is the O-1A visa a realistic option for machine learning researchers?
For researchers with a strong publication record, it can be. The O-1A requires evidence of extraordinary ability, which for ML researchers typically means peer-reviewed publications at top venues like NeurIPS, ICML, or ICLR, high citation counts, peer review service, or awards in the field. Meeting three of the eight O-1A criteria is the threshold. Researchers early in their career may not yet meet it, but mid-career researchers with a meaningful publication history often do.
What happens to my visa sponsorship if my research project ends or the company pivots?
Your H-1B status is tied to your employer, not your project. If the company terminates your role, your employer is legally required to pay for your return transportation home, and you enter a 60-day grace period to find a new sponsor, change status, or depart. If you move to a new employer, they must file an H-1B transfer petition, which allows you to start work upon receipt. Keeping your job search proactive before any project ends reduces the risk of a gap.
Can I switch from a research role to an applied ML engineering role on the same H-1B?
Only if the new role is within the same specialty occupation category and the material change rules are followed. A significant change in job duties, location, or employer requires an amended H-1B petition before you make the switch. Moving from pure research to product-focused ML engineering may or may not constitute a material change depending on how different the duties are. Your employer's immigration counsel should evaluate the specific role change before you transition.
What is the prevailing wage requirement for sponsored Machine Learning Research 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.