Machine Learning Research Green Card Jobs
Machine Learning Research roles qualify for EB-2 sponsorship when they require an advanced degree in computer science, statistics, or a related field, and many employers file PERM labor certifications for these positions. Demand for ML researchers with specialized credentials makes green card sponsorship common at research-focused technology and enterprise organizations.
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Get Access To All JobsINTRODUCTION
Play a part in building the next revolution of machine learning technology. We’re looking for passionate mid-level and senior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you’ll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.
DESCRIPTION
You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are of high quality and reproducible. You will propose your own research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.
MINIMUM QUALIFICATIONS
- Demonstrated expertise in machine learning research
- Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc)
- Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
- Strong mathematical skills in linear algebra and statistics
PREFERRED QUALIFICATIONS
- Ability to formulate a research problem, design, experiment, implement and communicate solutions
- Ability to work in a diverse collaborative environment
- PhD, or equivalent practical experience, in Computer Science, or related technical field
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 $212,000 and $386,300, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
Play a part in building the next revolution of machine learning technology. We’re looking for passionate mid-level and senior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you’ll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.
DESCRIPTION
You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are of high quality and reproducible. You will propose your own research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.
MINIMUM QUALIFICATIONS
- Demonstrated expertise in machine learning research
- Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc)
- Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
- Strong mathematical skills in linear algebra and statistics
PREFERRED QUALIFICATIONS
- Ability to formulate a research problem, design, experiment, implement and communicate solutions
- Ability to work in a diverse collaborative environment
- PhD, or equivalent practical experience, in Computer Science, or related technical field
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 $212,000 and $386,300, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Get Access To All JobsTips for Finding Green Card Sponsorship in Machine Learning Research
Document your research contributions before applying
Compile published papers, patents, conference presentations, and citations into a single credentials file. PERM and I-140 adjudicators treat documented research output as evidence of specialized qualifications that justify a permanent hire over a U.S. worker.
Target employers with active PERM filing history
Search DOL OFLC disclosure data for employers who have filed PERM applications under ML and AI job titles. Repeated filings signal an established sponsorship process, which reduces the risk of an offer expiring before the I-140 clears.
Confirm the prevailing wage tier before negotiating
Look up the wage level for your specific O*NET occupation code using the OFLC Wage Search before accepting an offer. Your employer must pay at or above the certified wage throughout the green card process, so Level III or IV designations affect your long-term compensation floor.
Use Migrate Mate to filter for green card sponsoring roles
Search for Machine Learning Research positions by sponsorship type on Migrate Mate, which surfaces employers with documented EB-2 and EB-3 filing history. This narrows your list to companies that have already navigated the PERM process for similar roles.
Clarify whether EB-2 or EB-3 applies to your offer
If the job description requires only a bachelor's degree, your employer may file under EB-3 even for senior research roles. Ask the HR team or immigration counsel which category they intend to file under, since EB-2 priority dates for some countries move significantly faster.
Understand how PERM recruitment affects your start date
USCIS requires employers to complete a supervised DOL recruitment period before certifying the PERM application. For ML Research roles, that process typically adds several months before the I-140 can be filed, so factor this into your employment start timeline.
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Find Machine Learning Research JobsMachine Learning Research Green Card Sponsorship: Frequently Asked Questions
Do Machine Learning Research roles commonly qualify for EB-2 green card sponsorship?
Yes. Most ML Research positions require a master's or doctoral degree in computer science, statistics, or a related quantitative field, which satisfies the EB-2 advanced-degree requirement. Employers must still complete the PERM labor certification before filing the I-140 petition, confirming no qualified U.S. worker is available for the specific role.
How does green card sponsorship differ from H-1B for ML Research jobs?
The H-1B is a temporary nonimmigrant visa subject to an annual lottery cap, while EB-2 and EB-3 green card sponsorship leads to permanent residency with no lottery. The tradeoff is timeline: PERM labor certification and I-140 adjudication often take one to three years before priority date movement becomes relevant, compared to an H-1B that can authorize work within months.
Which employers typically sponsor green cards for Machine Learning Research positions?
Large technology companies, pharmaceutical and biotech firms, financial institutions with quantitative research divisions, and university-affiliated research labs regularly file PERM applications for ML researchers. DOL OFLC disclosure data is a reliable way to verify which organizations have filed for comparable job titles before you apply.
How can I find Machine Learning Research jobs that include green card sponsorship?
Migrate Mate lets you filter job listings by employment-based sponsorship category, surfacing EB-2 and EB-3 opportunities from employers with documented PERM filing history for ML and AI roles. This is more targeted than general job searches because it filters specifically for green card sponsorship rather than temporary work visa support.
Does my country of birth affect how long EB-2 or EB-3 sponsorship takes for ML Research roles?
Yes, significantly. Nationals of India and China face priority date backlogs measured in years or decades for EB-2 and EB-3 due to per-country caps on annual green card issuances. Nationals from most other countries fall under the Rest of World queue, where priority dates for ML Research roles typically move much faster after PERM and I-140 approval.
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