Green Card ML Software Engineer Jobs
ML Software Engineer roles at U.S. companies regularly qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process. Employers document that no qualified U.S. worker is available before filing your I-140 petition, making your specialized skills in machine learning the foundation of your sponsorship case.
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Get Access To All JobsApple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply join something; you will contribute something meaningful.
Spatial computing represents a transformative frontier where digital experiences merge seamlessly with physical environments. Through advanced sensor fusion, edge computing architectures, and efficient on-device models, we are redefining how people interact with technology in their everyday lives. This evolution enables entirely new possibilities while maintaining genuine human connection.
Our computer vision and machine learning (CVML) team of researchers and engineers tackle previously unsolved technical challenges at the intersection of perception, intelligence, and real-time processing. We seek a driven and dedicated engineer with deep expertise in machine learning systems. As a member of our dynamic team, you will have the unique and rewarding opportunity to influence next-generation products that will captivate and inspire millions of people daily.
Are you prepared to make a lasting impact on the future of technology?
Description
We seek a proactive Senior Machine Learning Engineer to join our team in designing and implementing advanced systems for spatial computing and artificial intelligence. The ideal candidate demonstrates passion for translating cutting-edge research into production-ready solutions that delight users.
In this role, you will collaborate closely with computer vision and machine learning researchers to develop and ship world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of a unified context representation and a scalable, device-agnostic framework. You will help establish efficient mechanisms for managing dynamic and persistent contextual insights. This work will enable intelligent, personalized experiences through efficient management of both real-time and historical contextual data, supporting advanced AI and machine learning models.
Your work will span the full spectrum from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform flawlessly in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing.
Responsibilities
- Working with ML and system engineers and designers to develop quick proof-of-concepts with novel hardware for innovative applications.
- Implementing and optimizing algorithms to run efficiently on mobile devices.
- Building and optimizing efficient machine learning pipelines.
- Developing cutting-edge AI systems that push the boundaries of what is possible.
- Collaborating cross-functionally to understand algorithmic constraints and dependencies.
- Cooperating with your team members to prepare presentations, papers, and talks to explain your inventions.
- Advising on feature definitions/promising development directions in cross-functional groups.
Minimum Qualifications
B.S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.
Strong experience in Python.
Foundational understanding of machine learning: Familiarity with ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems.
Preferred Qualifications
M.S., or Ph.D. or 5+ years of industry experience in machine learning or related fields.
Working experience in C++ or Swift.
Excellent math skills, including linear algebra, computational science and optimization.
Creativity and curiosity for solving highly complex problems.
Excellent communication and collaboration skills.
An interest in incubating ideas and taking them to finish.
Experience with iOS/macOS development.
Experience shipping algorithms or publishing in top tier CVML conferences.
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 $184,700 and $324,800, 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.
Apple is where individual imaginations converge, united by values that drive exceptional innovation. Every product we develop and service we deliver emerges from our collective commitment to strengthening each other's ideas. This collaborative spirit stems from a shared conviction that we can create something extraordinary and deliver it to the world, transforming lives for the better. The diversity of our people and their perspectives fuels the innovation that permeates everything we accomplish. When we embrace everyone's contributions, we achieve our finest work. Here, you will not simply join something; you will contribute something meaningful.
Spatial computing represents a transformative frontier where digital experiences merge seamlessly with physical environments. Through advanced sensor fusion, edge computing architectures, and efficient on-device models, we are redefining how people interact with technology in their everyday lives. This evolution enables entirely new possibilities while maintaining genuine human connection.
Our computer vision and machine learning (CVML) team of researchers and engineers tackle previously unsolved technical challenges at the intersection of perception, intelligence, and real-time processing. We seek a driven and dedicated engineer with deep expertise in machine learning systems. As a member of our dynamic team, you will have the unique and rewarding opportunity to influence next-generation products that will captivate and inspire millions of people daily.
Are you prepared to make a lasting impact on the future of technology?
Description
We seek a proactive Senior Machine Learning Engineer to join our team in designing and implementing advanced systems for spatial computing and artificial intelligence. The ideal candidate demonstrates passion for translating cutting-edge research into production-ready solutions that delight users.
In this role, you will collaborate closely with computer vision and machine learning researchers to develop and ship world-class algorithms that advance the state of the art while creating deeply personal experiences for our users. You will drive the development of a unified context representation and a scalable, device-agnostic framework. You will help establish efficient mechanisms for managing dynamic and persistent contextual insights. This work will enable intelligent, personalized experiences through efficient management of both real-time and historical contextual data, supporting advanced AI and machine learning models.
Your work will span the full spectrum from applying breakthrough research to solving real-world problems, optimizing model efficiency for on-device inference, and ensuring algorithms perform flawlessly in production. You will be instrumental in pushing the boundaries of what is possible when sophisticated machine learning meets spatial computing.
Responsibilities
- Working with ML and system engineers and designers to develop quick proof-of-concepts with novel hardware for innovative applications.
- Implementing and optimizing algorithms to run efficiently on mobile devices.
- Building and optimizing efficient machine learning pipelines.
- Developing cutting-edge AI systems that push the boundaries of what is possible.
- Collaborating cross-functionally to understand algorithmic constraints and dependencies.
- Cooperating with your team members to prepare presentations, papers, and talks to explain your inventions.
- Advising on feature definitions/promising development directions in cross-functional groups.
Minimum Qualifications
B.S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.
Strong experience in Python.
Foundational understanding of machine learning: Familiarity with ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems.
Preferred Qualifications
M.S., or Ph.D. or 5+ years of industry experience in machine learning or related fields.
Working experience in C++ or Swift.
Excellent math skills, including linear algebra, computational science and optimization.
Creativity and curiosity for solving highly complex problems.
Excellent communication and collaboration skills.
An interest in incubating ideas and taking them to finish.
Experience with iOS/macOS development.
Experience shipping algorithms or publishing in top tier CVML conferences.
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 $184,700 and $324,800, 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 2,221+ Green Card ML Software Engineer Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a ML Software Engineer
Align your credentials to EB-2 requirements
PERM-based EB-2 requires an advanced degree or its equivalent in a directly related field. A bachelor's plus five years of progressive ML experience can substitute for a master's, but document each role's technical scope carefully before your employer files.
Target employers with active PERM filing history
Search DOL's OFLC Wage Search data to identify companies that have previously certified PERM applications for ML or software roles. Prior filing history signals an HR and legal team already familiar with the sponsorship workflow, reducing delays.
Negotiate sponsorship terms before accepting an offer
Clarify in writing whether the employer covers attorney fees, I-140 premium processing, and adjustment of status filing costs. Some companies cap reimbursement at the I-140 stage, leaving you to fund I-485 out of pocket.
Use Migrate Mate to find green card sponsoring employers
Filter by ML Software Engineer roles where employers have documented EB-2 or EB-3 sponsorship history. Migrate Mate surfaces this PERM data so you target companies already running the process, not ones you'd have to educate from scratch.
Understand how your country affects priority date timing
EB-2 and EB-3 backlogs vary sharply by birth country. If you were born in India or China, check the monthly USCIS Visa Bulletin before accepting a role, since your wait for an available priority date can extend years beyond the PERM approval.
Request an O*NET occupational classification from your employer
PERM job duties must match the O*NET profile for your role. Vague or overly broad duty lists get audited. Ask your employer's attorney to verify the SOC code and minimum requirements before the DOL application is submitted.
Green Card ML Software Engineer: Frequently Asked Questions
Do ML Software Engineer roles qualify for EB-2 or EB-3 green card sponsorship?
Most ML Software Engineer positions qualify for EB-2 because employers typically require a master's degree or a bachelor's plus substantial progressive experience in machine learning or a closely related field. If the posted role requires only a bachelor's degree, it may be classified under EB-3 instead. The employer's attorney determines the correct category based on the actual minimum job requirements, not the candidate's credentials.
How does PERM green card sponsorship differ from H-1B for an ML engineer?
The PERM process leads to permanent residency rather than a renewable temporary status, and EB-3 approvals for most countries outside India and China face no meaningful backlog. Unlike H-1B visa, there's no annual lottery and no cap on EB-3 filings per employer. The tradeoff is timeline: PERM labor certification alone can take six to eighteen months before you even reach the I-140 stage, compared to H-1B processing measured in weeks or months.
What documentation should I prepare before a sponsoring employer starts the PERM process?
Gather transcripts showing your qualifying degree, employment verification letters that specify job titles and technical duties for each prior ML role, and any publications or patents that support specialty occupation or EB-2 eligibility. Your employer will need this to define the minimum requirements accurately. Gaps or mismatches between your resume and official records are among the most common causes of PERM audit.
How can I find ML Software Engineer jobs where employers already sponsor green cards?
Migrate Mate lets you search specifically for ML Software Engineer roles at employers with documented EB-2 and EB-3 PERM filing history, so you're not guessing which companies will sponsor. This matters because starting the sponsorship conversation with an employer that has never run PERM before adds months of internal approvals before the DOL application is even prepared.
Can I change employers after my I-140 is approved but before I get my green card?
Yes, in most cases. Once your I-140 has been approved for at least 180 days, portability rules allow you to move to a new employer in a same or similar ML or software role without losing your priority date. The new employer doesn't need to restart PERM from scratch. You'll need your new employer to confirm the role is sufficiently similar and that your adjustment of status application remains pending.