Machine Learning Research Jobs in USA with Visa Sponsorship
Machine learning research roles attract strong H-1B 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 JobsJoin us as we build world-class groundbreaking products for our customers!
The Responsible AI and Safety team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
Description
This role will be highly multifunctional. You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from. As a researcher, you will:
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Define and deliver responsible machine learning technologies
-
Develop methods and frameworks to train and evaluate foundation models with responsibility and safety in mind
-
Research and advance safety alignment and model robustness methods for foundation models
-
Research and develop mitigations and safeguards to ensure safe deployment of LLM’s in Apple products
-
Advocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of Apple's AI-powered platform and features
-
Work multi-functionally on a diverse set of challenging problems and collaborate with extraordinary software engineers, machine learning engineers, and researchers to impact the future of Apple products
-
Work closely with product and partner teams to drive requirement definition, technical quality of deliverables, and execution
Minimum Qualifications
Strong research or product deployment record in areas related to responsible AI, with publications in top ML venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.)
Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
Proficient programming skills in Python and deep learning toolkits (e.g. JAX, PyTorch, Tensorflow)
Work with highly-sensitive content with exposure to offensive and controversial content
Preferred Qualifications
BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
Experience with LLM training and safety alignment
Strong organizational and operational skills working with large, multi-functional, and diverse teams
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.
Join us as we build world-class groundbreaking products for our customers!
The Responsible AI and Safety team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards.
Description
This role will be highly multifunctional. You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from. As a researcher, you will:
-
Define and deliver responsible machine learning technologies
-
Develop methods and frameworks to train and evaluate foundation models with responsibility and safety in mind
-
Research and advance safety alignment and model robustness methods for foundation models
-
Research and develop mitigations and safeguards to ensure safe deployment of LLM’s in Apple products
-
Advocate for scientific and engineering excellence: You will contribute to the architecture and high-level structure of Apple's AI-powered platform and features
-
Work multi-functionally on a diverse set of challenging problems and collaborate with extraordinary software engineers, machine learning engineers, and researchers to impact the future of Apple products
-
Work closely with product and partner teams to drive requirement definition, technical quality of deliverables, and execution
Minimum Qualifications
Strong research or product deployment record in areas related to responsible AI, with publications in top ML venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.)
Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
Proficient programming skills in Python and deep learning toolkits (e.g. JAX, PyTorch, Tensorflow)
Work with highly-sensitive content with exposure to offensive and controversial content
Preferred Qualifications
BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
Experience with LLM training and safety alignment
Strong organizational and operational skills working with large, multi-functional, and diverse teams
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 in Machine Learning Research
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.
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Get Access To All JobsFrequently 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 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.
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