Green Card Machine Learning Engineer Jobs
Machine Learning Engineer roles qualify for green card sponsorship under EB-2 for advanced-degree professionals and EB-3 for skilled workers with a bachelor's degree. Your employer files a PERM labor certification with DOL before petitioning USCIS, permanently sponsoring your residency rather than tying you to a temporary status.
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Get Access To All JobsIn a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champions of quality content, expert curation, user privacy, and the judicious use of machine learning.
Our lively and brilliant distributed team consists of client and machine learning engineers who embody Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our careers!
Our team's outstanding retention rate speaks to our strong culture of respect for our teammates as both engineers and people. Would you like to work on such a team, solving hard problems in machine learning? Terrific! Please join us for the next generation of these apps!
Description
Our team is seeking a high-energy and self-driven machine learning engineer who will play a central role in the delivery of scalable services. The team uses machine learning to tackle difficult and complicated problems in the news, books, and stocks domains, including text extraction, named entity recognition, duplicate detection, search, ranking, and much more! As a member of our dynamic group, you’ll have the rare and rewarding opportunity to craft upcoming products that will delight and encourage millions of Apple’s customers every day!
Responsibilities
- Design and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features.
- Develop datasets, design model architecture, and prompt, train, or fine-tune models.
- Partner with cross-functional teams at the intersection of technology and liberal arts to design and implement end-to-end AI/ML features.
- Drive application features from concept, model design, and development all the way to delivery.
- Join a thriving machine learning community at Apple.
Minimum Qualifications
- MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.
- At least 2 years of experience shipping machine learning models in products.
- Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.
- Ability to communicate effectively and collaborate with partner teams.
- Commitment to encouraging an open and inclusive work environment.
Preferred Qualifications
- Ph.D. in Machine Learning, Computer Science, or related field.
- At least 5 years of experience shipping machine learning models in products.
- Experience with recommender systems.
- Experience with text-centric AI/ML (LLMs, document classification, search, etc.)
- Experience delivering high quality software at scale.
- Experience designing user-facing machine learning features with interdisciplinary partners.
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 $175,000 and $263,300, 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
In a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champions of quality content, expert curation, user privacy, and the judicious use of machine learning.
Our lively and brilliant distributed team consists of client and machine learning engineers who embody Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our careers!
Our team's outstanding retention rate speaks to our strong culture of respect for our teammates as both engineers and people. Would you like to work on such a team, solving hard problems in machine learning? Terrific! Please join us for the next generation of these apps!
Description
Our team is seeking a high-energy and self-driven machine learning engineer who will play a central role in the delivery of scalable services. The team uses machine learning to tackle difficult and complicated problems in the news, books, and stocks domains, including text extraction, named entity recognition, duplicate detection, search, ranking, and much more! As a member of our dynamic group, you’ll have the rare and rewarding opportunity to craft upcoming products that will delight and encourage millions of Apple’s customers every day!
Responsibilities
- Design and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features.
- Develop datasets, design model architecture, and prompt, train, or fine-tune models.
- Partner with cross-functional teams at the intersection of technology and liberal arts to design and implement end-to-end AI/ML features.
- Drive application features from concept, model design, and development all the way to delivery.
- Join a thriving machine learning community at Apple.
Minimum Qualifications
- MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.
- At least 2 years of experience shipping machine learning models in products.
- Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.
- Ability to communicate effectively and collaborate with partner teams.
- Commitment to encouraging an open and inclusive work environment.
Preferred Qualifications
- Ph.D. in Machine Learning, Computer Science, or related field.
- At least 5 years of experience shipping machine learning models in products.
- Experience with recommender systems.
- Experience with text-centric AI/ML (LLMs, document classification, search, etc.)
- Experience delivering high quality software at scale.
- Experience designing user-facing machine learning features with interdisciplinary partners.
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 $175,000 and $263,300, 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 2,469+ Green Card Machine Learning Engineer Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Machine Learning Engineer
Align your credentials to EB-2 requirements
A U.S. master's degree or a foreign equivalent in computer science, statistics, or a related field positions you for EB-2. Document your degree equivalency early, because PERM audits frequently scrutinize whether your qualifications match the job's minimum requirements.
Target employers with active PERM filing history
Search DOL OFLC disclosure data to confirm an employer has filed PERM certifications for ML Engineer roles recently. A company that has never run a PERM case for your job category faces a steeper learning curve, slowing your green card timeline considerably.
Use Migrate Mate to filter sponsoring employers
Search for Machine Learning Engineer roles on Migrate Mate to surface employers who have sponsored green cards for this specific job title, so you're applying to companies already equipped to run your PERM case from day one.
Verify your role meets DOL prevailing wage
Run your job title and work location through OFLC Wage Search before negotiating an offer. Your offered salary must meet the DOL prevailing wage for the role, or your PERM application will fail regardless of your qualifications or the employer's intent.
Clarify sponsorship scope during the offer stage
Confirm in writing whether the employer will cover premium processing for the I-140 and whether they sponsor dependents. ML Engineer roles attract competitive offers, but sponsorship terms vary widely and are rarely spelled out unless you ask directly before signing.
Check your O*NET job zone before the employer files
Machine Learning Engineer maps to O*NET job zone four or five, which supports the specialty occupation requirement underpinning both EB-2 and EB-3 eligibility. Share this with your employer's attorney to head off any PERM audit questions about whether the role requires a degree.
Green Card Machine Learning Engineer: Frequently Asked Questions
Does a Machine Learning Engineer role qualify for EB-2 or EB-3 sponsorship?
Both categories apply depending on your credentials and the employer's job description. EB-2 requires a master's degree or higher, or a bachelor's plus five years of progressive experience. EB-3 covers professionals with a bachelor's degree in a relevant field. Most ML Engineer positions specify a degree in computer science, mathematics, or statistics, which satisfies the minimum requirements for either category under PERM.
How does green card sponsorship differ from H-1B sponsorship for ML Engineers?
H-1B visa ties you to a specific employer on a temporary, renewable status and subjects you to the annual lottery. Green card sponsorship through PERM leads to permanent residency with no cap concerns at the EB-3 level for many countries and no renewal cycle. The tradeoff is time: PERM, I-140, and adjustment of status together can take two to four years for most nationalities, compared to a few months for an H-1B approval.
How do I find Machine Learning Engineer jobs where the employer will sponsor a green card?
Migrate Mate lets you filter ML Engineer roles by employers who have a documented history of PERM and I-140 sponsorship for this specific job title. That's more reliable than asking during a cold application, since many companies sponsor for some roles but not others depending on the team, budget, and headcount.
What does the PERM labor certification process look like for an ML Engineer role?
Your employer must conduct a supervised recruitment process to prove no qualified U.S. workers are available for the role at the offered wage. DOL reviews the documentation and, if certified, issues a PERM approval that the employer then uses to file an I-140 immigrant petition with USCIS on your behalf. The full PERM stage alone currently averages several months to over a year depending on whether an audit is triggered.
Can I change jobs while my green card is pending as an ML Engineer?
Once your I-140 is approved and your priority date is current, portability rules under AC21 allow you to change to a same or similar role without restarting the process. Machine Learning Engineer and related ML-focused titles are generally considered similar enough to support portability, but you'll want your new employer and immigration counsel to confirm the SOC code alignment before you switch.