H-1B Visa Machine Learning Research Jobs
Machine Learning Research roles qualify as H-1B visa specialty occupations under the computer and mathematical sciences category, requiring at least a bachelor's degree in a directly related field. Employers filing H-1B petitions for these positions must certify a prevailing wage through DOL before USCIS adjudicates the petition.
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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.
See all 731+ H-1B Visa Machine Learning Research Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Machine Learning Research
Verify your degree maps to the role
USCIS scrutinizes whether your degree field directly relates to machine learning research. A degree in computer science, statistics, or applied mathematics strengthens your petition. An unrelated degree, even with years of ML experience, increases RFE risk significantly.
Use OFLC Wage Search before negotiating salary
Pull the prevailing wage for your SOC code and work location using OFLC Wage Search before any offer discussion. Research roles often fall under Level III or IV wages, and knowing the floor prevents accepting an offer that fails DOL certification.
Target employers with cap-exempt H-1B filing history
Universities, nonprofit research institutions, and government research organizations can file H-1B petitions outside the annual cap. If you're pursuing a research role, these employers give you year-round petition filing without lottery exposure.
Search verified H-1B sponsors on Migrate Mate
Filter Machine Learning Research openings by employers with confirmed H-1B LCA filing history on Migrate Mate. This shows which companies have sponsored comparable roles, so you're not spending time on employers unlikely to file for your position.
Request premium processing before your OPT expires
If you're transitioning from OPT, file with premium processing so USCIS adjudicates within 15 business days. Standard processing can run several months, and an unadjudicated petition during a status gap creates authorization problems.
Confirm the job description covers specialty occupation
Ask your future employer to document that the Machine Learning Research role requires a specific technical degree, not just a generic bachelor's. Vague job descriptions that accept any STEM degree are the leading cause of specialty occupation RFEs.
H-1B Visa Machine Learning Research: Frequently Asked Questions
Does a Machine Learning Research role qualify as an H-1B specialty occupation?
Yes, provided the position requires a bachelor's degree or higher in a directly related field such as computer science, statistics, applied mathematics, or electrical engineering. USCIS evaluates the job duties, not the job title. If the role accepts any general degree, it may not meet the specialty occupation standard, which is why the job description's degree requirement language matters.
How do I find employers actively sponsoring H-1B visas for Machine Learning Research positions?
Search on Migrate Mate, which surfaces employers with verified H-1B LCA filing history for machine learning and research roles. DOL's LCA disclosure data is publicly available and shows which companies have filed for comparable positions, giving you a concrete shortlist rather than guessing at which employers are willing to sponsor.
What H-1B wage level typically applies to Machine Learning Research roles?
Most Machine Learning Research positions fall under SOC code 15-2051 (Data Scientists) or 15-1221 (Computer and Information Research Scientists). DOL assigns wage levels based on experience and supervisory responsibility. Entry-level researchers typically land at Level II, while senior or independent researchers often qualify at Level III or IV. Use OFLC Wage Search to verify the prevailing wage for your specific location.
Can I work on H-1B for a research university or national lab without entering the lottery?
Yes. Universities and affiliated nonprofit research organizations are cap-exempt H-1B employers, meaning they can file petitions at any time without competing in the annual lottery. National labs affiliated with universities or government agencies often share this exemption. Confirm the employer's cap-exempt status before assuming year-round filing is available, as the affiliation structure determines eligibility.
What documentation strengthens an H-1B petition for a Machine Learning Research role?
Your employer's petition benefits from a detailed job description tying specific duties to your degree field, academic transcripts showing relevant coursework, published research or conference papers demonstrating specialized expertise, and any professional certifications in relevant tools or methods. If your degree is from outside the U.S., a credential evaluation from a NACES-member evaluator showing equivalency to a U.S. bachelor's is essential for USCIS review.