Machine Learning Scientist Green Card Jobs
Machine Learning Scientist roles qualify for EB-2 sponsorship when they require an advanced degree in computer science, statistics, or a related field, and for EB-3 when the position demands at least a bachelor's degree. Employers file a PERM labor certification with DOL before petitioning USCIS, making early sponsorship conversations essential.
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Get Access To All JobsINTRODUCTION
Wonder how Apple's Media Products show relevant search results and recommendations across Apple's media offerings - including App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books? Come join us! Research, design and develop machine learning models that personalize the App Store for billions of users worldwide! Propose, prototype and evaluate algorithm improvements. Build large-scale personalized recommender systems for Apple Music, Apps & Games Recommendations, Video, Podcast and Books Recommendations. See your work touch the lives of billions of Apple users worldwide.
The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple’s high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple’s unique integration of hardware, software, and services, designers, scientists and engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here.
DESCRIPTION
We are looking for a world-class researcher to help us solve challenging problems in personalization science using the latest advances in machine learning. With your expertise, we want to develop novel solutions to power personalized experiences across the App Store that enrich the lives of our customers. You will have the incredible opportunity to see your solutions deployed at Apple’s truly incredible global scale.
Responsibilities
- Develop and apply state of the scientific art in machine learning and artificial intelligence to personalization of user experiences.
- Conduct human evaluation and rigorous experiments to test and improve your models.
- Derive insights from experimentation and convert them into feature improvements.
- Ship production quality code to deploy your models at global scale.
- Contribute to the scientific literature through publications and participation in leading academic conferences.
- Help chart the future growth of personalization across Apple's services ecosystem.
MINIMUM QUALIFICATIONS
- 6+ years of relevant work experience.
- Deep knowledge of machine learning powered personalization algorithms, design patterns and tools. In particular, this includes deep learning, reinforcement learning and unsupervised learning methods.
- Knowledge of generative artificial intelligence applied to recommendation systems.
- Practical real-world experience with building scalable recommendation systems.
- Proven grasp of the open-source Python ML/AI tech stack, including Tensorflow, pytorch, scikit-learn, numpy-scipy-pandas.
- Technical competence in production-quality software development.
- Familiarity with big data technologies.
- Strong written & oral communication skills.
- Master’s in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
PREFERRED QUALIFICATIONS
- PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
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 $171,600 and $302,200, 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. Learn more about your EEO rights as an applicant.
INTRODUCTION
Wonder how Apple's Media Products show relevant search results and recommendations across Apple's media offerings - including App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books? Come join us! Research, design and develop machine learning models that personalize the App Store for billions of users worldwide! Propose, prototype and evaluate algorithm improvements. Build large-scale personalized recommender systems for Apple Music, Apps & Games Recommendations, Video, Podcast and Books Recommendations. See your work touch the lives of billions of Apple users worldwide.
The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple’s high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple’s unique integration of hardware, software, and services, designers, scientists and engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here.
DESCRIPTION
We are looking for a world-class researcher to help us solve challenging problems in personalization science using the latest advances in machine learning. With your expertise, we want to develop novel solutions to power personalized experiences across the App Store that enrich the lives of our customers. You will have the incredible opportunity to see your solutions deployed at Apple’s truly incredible global scale.
Responsibilities
- Develop and apply state of the scientific art in machine learning and artificial intelligence to personalization of user experiences.
- Conduct human evaluation and rigorous experiments to test and improve your models.
- Derive insights from experimentation and convert them into feature improvements.
- Ship production quality code to deploy your models at global scale.
- Contribute to the scientific literature through publications and participation in leading academic conferences.
- Help chart the future growth of personalization across Apple's services ecosystem.
MINIMUM QUALIFICATIONS
- 6+ years of relevant work experience.
- Deep knowledge of machine learning powered personalization algorithms, design patterns and tools. In particular, this includes deep learning, reinforcement learning and unsupervised learning methods.
- Knowledge of generative artificial intelligence applied to recommendation systems.
- Practical real-world experience with building scalable recommendation systems.
- Proven grasp of the open-source Python ML/AI tech stack, including Tensorflow, pytorch, scikit-learn, numpy-scipy-pandas.
- Technical competence in production-quality software development.
- Familiarity with big data technologies.
- Strong written & oral communication skills.
- Master’s in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
PREFERRED QUALIFICATIONS
- PhD in a quantitative field, including Computer Science, Maths, Statistics, Physics, etc.
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 $171,600 and $302,200, 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. Learn more about your EEO rights as an applicant.
See all 891+ Machine Learning Scientist jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Scientist roles.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Machine Learning Scientist
Target employers with dedicated immigration programs
Companies that run internal ML research labs and regularly sponsor green cards already have outside counsel and PERM workflows in place. Use Migrate Mate to filter for Machine Learning Scientist roles at employers with active EB-2 and EB-3 filing history.
Clarify the degree field requirement before the offer stage
PERM job requirements lock in the minimum degree field. If the posted role requires computer science but your degree is in applied mathematics, confirm with the hiring team that equivalent fields are acceptable before DOL certifies the labor condition.
Ask about concurrent I-140 and I-485 filing eligibility
If a visa number is immediately available for your country and category, your employer can file the I-140 immigrant petition and your I-485 adjustment of status application at the same time, cutting months off your path to permanent residency.
Verify prevailing wage tier before negotiating salary
DOL's OFLC Wage Search maps Machine Learning Scientist roles to specific wage levels by location. Your offered salary must meet or exceed the certified prevailing wage, so check the applicable tier early to avoid a PERM amendment after the offer is signed.
Check O*NET alignment when the job title varies
Employers use different titles for ML research roles. O*NET classifies Machine Learning Scientists under a specific Standard Occupational Classification code, which DOL uses for wage determinations. Confirm the SOC code on your PERM application matches your actual duties.
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Find Machine Learning Scientist JobsMachine Learning Scientist Green Card Sponsorship: Frequently Asked Questions
Does a Machine Learning Scientist role qualify for EB-2 or EB-3 sponsorship?
Most Machine Learning Scientist positions qualify for EB-2 because employers typically require a master's degree or PhD in computer science, statistics, or a related field. If the job description accepts a bachelor's degree with several years of experience, EB-3 professional sponsorship may apply instead. The degree requirement written into the PERM application determines the category, so the job posting language matters.
How does green card sponsorship differ from H-1B for this role?
H-1B is a temporary status capped at 85,000 new slots per year and subject to an annual lottery. EB-2 and EB-3 green card sponsorship has no annual lottery and leads to permanent residency, though the PERM labor certification process adds six to twelve months before USCIS even reviews the I-140 petition. For most nationalities outside India and China, priority dates are current, meaning the overall timeline to a green card can be comparable to waiting for H-1B approval.
How long does the PERM process take for a Machine Learning Scientist position?
DOL currently processes standard PERM applications in roughly six to twelve months, though audit-selected cases take longer. Before filing, the employer must complete supervised recruitment, including job postings and candidate review, which typically adds sixty to ninety days. From PERM certification to an approved I-140 at USCIS adds another three to six months under standard processing, or as little as fifteen business days with premium processing.
Can I negotiate my job offer while a green card is being sponsored?
You can negotiate salary before the PERM application is filed, but once DOL certifies the labor condition the offered wage is locked as the floor. Promotions or title changes after PERM certification can trigger an amendment or a new filing. Raises above the certified wage are fine. Discuss the sponsorship timeline with your employer before signing so you understand which terms are fixed once the DOL filing is submitted.
Where can I find Machine Learning Scientist jobs that already offer green card sponsorship?
Migrate Mate lets you search specifically for Machine Learning Scientist roles at employers with documented EB-2 and EB-3 filing history, so you're not guessing about sponsorship willingness during the interview process. Filtering by sponsorship type upfront saves weeks of back-and-forth with recruiters at companies that don't have immigration programs in place.
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