Green Card AI ML Engineering Jobs
AI ML Engineering roles qualify for green card sponsorship under EB-2 for advanced-degree professionals and EB-3 for skilled practitioners. Employers file a PERM labor certification with DOL before petitioning USCIS, locking in your priority date and building toward permanent residency rather than a temporary visa tied to annual renewals.
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Get Access To All JobsOur team is working toward a future where our devices are aware of us and our environment, they directly support our health and wellbeing, and they nudge us to be more thoughtful, present, and inspired human beings. We believe there is huge opportunity to improve lives and the world by understanding people, our activities, connections, and the environments we live in using sensing and machine learning on our devices. Our team works with cross-functional partners across Apple to create high-impact features and new ways to interact on Apple Watch, home products, and new hardware. We prototype new experiences, develop and ship products, and publish our work. We are a creative, multi-disciplinary, optimistic, and collaborative team. Come join us and build the future!
Description
The team you will join is responsible for creating the technologies that power new, innovative product features for Apple Watch, like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship features. We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer interaction, and who can work across disciplines - from training advanced models to rapid on-device prototyping and full-scale productization. In this hybrid role, you’ll collaborate closely with designers, ML engineers, and software experts to transform ambitious, loosely defined ideas into next-generation sensing experiences that reach millions of Apple Watch users worldwide. Your responsibilities will include:
Responsibilities
-
Develop and optimize ML algorithms leveraging multimodal sensor data - like motion and audio - to detect user activities and contextual situations that enhance our understanding of real-world behavior
-
Integrate and deploy ML models on-device, building power-efficient frameworks that encapsulate models, interface seamlessly with sensors, and communicate effectively with UX layers
-
Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features
-
Design and implement tools, analytics, and processes to perform in-depth, hands-on analysis for validating and quantifying algorithm performance both offline and on-device
Minimum Qualifications
M.S. or Ph.D. in Machine Learning, Computer Science, or a related field
Solid knowledge of machine learning methods, statistical analysis, and predictive modeling using time-series data
Strong Python skills with experience writing production-quality code and working with deep learning frameworks such as PyTorch or TensorFlow
Experience with Swift or Objective-C and developing on Apple platforms
Experience architecting large scale systems
Preferred Qualifications
You collaborate effectively with cross-functional partners
You have a deep commitment to product quality and interest in building consumer applications
Excellent communication and collaboration skills, with ability to work independently or in small 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 $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.
Our team is working toward a future where our devices are aware of us and our environment, they directly support our health and wellbeing, and they nudge us to be more thoughtful, present, and inspired human beings. We believe there is huge opportunity to improve lives and the world by understanding people, our activities, connections, and the environments we live in using sensing and machine learning on our devices. Our team works with cross-functional partners across Apple to create high-impact features and new ways to interact on Apple Watch, home products, and new hardware. We prototype new experiences, develop and ship products, and publish our work. We are a creative, multi-disciplinary, optimistic, and collaborative team. Come join us and build the future!
Description
The team you will join is responsible for creating the technologies that power new, innovative product features for Apple Watch, like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship features. We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer interaction, and who can work across disciplines - from training advanced models to rapid on-device prototyping and full-scale productization. In this hybrid role, you’ll collaborate closely with designers, ML engineers, and software experts to transform ambitious, loosely defined ideas into next-generation sensing experiences that reach millions of Apple Watch users worldwide. Your responsibilities will include:
Responsibilities
-
Develop and optimize ML algorithms leveraging multimodal sensor data - like motion and audio - to detect user activities and contextual situations that enhance our understanding of real-world behavior
-
Integrate and deploy ML models on-device, building power-efficient frameworks that encapsulate models, interface seamlessly with sensors, and communicate effectively with UX layers
-
Drive innovation from concept to deployment, ensuring promising research ideas evolve into high-impact, user-facing features
-
Design and implement tools, analytics, and processes to perform in-depth, hands-on analysis for validating and quantifying algorithm performance both offline and on-device
Minimum Qualifications
M.S. or Ph.D. in Machine Learning, Computer Science, or a related field
Solid knowledge of machine learning methods, statistical analysis, and predictive modeling using time-series data
Strong Python skills with experience writing production-quality code and working with deep learning frameworks such as PyTorch or TensorFlow
Experience with Swift or Objective-C and developing on Apple platforms
Experience architecting large scale systems
Preferred Qualifications
You collaborate effectively with cross-functional partners
You have a deep commitment to product quality and interest in building consumer applications
Excellent communication and collaboration skills, with ability to work independently or in small 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 $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 2,228+ Green Card AI ML Engineering Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card AI ML Engineering Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship in AI ML Engineering
Document your ML credentials before applying
PERM requires proving your qualifications match the job's minimum requirements exactly. Gather transcripts, publications, patents, and employer letters that map your ML experience to the specific SOC code your role will be filed under.
Check if your role qualifies for EB-2
AI ML Engineering positions frequently require a master's degree or its equivalent in computer science or a related field. Confirm your employer intends to file under EB-2 before accepting an offer, since EB-2 priority dates move faster for most nationalities.
Target employers with active PERM filing history
Use Migrate Mate to filter AI ML Engineering roles by employers who have actively filed PERM labor certifications, so you spend your time on companies that already sponsor green cards rather than those still figuring out the process.
Ask about concurrent filing eligibility early
If your priority date is current when your I-140 is approved, your employer can file the I-485 adjustment of status concurrently. For Indian and Chinese nationals in EB-2, this is rarely immediate, so start PERM discussions as early as possible.
Verify your employer uses E-Verify before signing
DOL requires PERM employers to post job notices and complete a good-faith recruitment process. E-Verify enrollment signals the employer has the HR infrastructure to handle sponsored hires, which reduces the risk of a PERM audit derailing your timeline.
Use OFLC Wage Search to negotiate your offer
PERM locks your offered wage at or above the DOL prevailing wage for your SOC code and location. Run the OFLC Wage Search before negotiating so you know the floor, and confirm your offer letter reflects that certified wage level.
Green Card AI ML Engineering: Frequently Asked Questions
Does an AI ML Engineering role typically qualify as a specialty occupation for green card purposes?
Yes. AI ML Engineering positions routinely require at minimum a bachelor's degree in computer science, mathematics, or a closely related field, which meets USCIS's specialty occupation standard. Roles involving model architecture, training pipelines, or ML infrastructure typically satisfy EB-2 requirements when the employer mandates an advanced degree, and EB-3 when a bachelor's degree is the minimum requirement.
How does PERM green card sponsorship differ from H-1B for AI ML professionals?
H-1B visa is a temporary work visa with a three-year initial period, an annual lottery, and no guaranteed path to permanency. PERM green card sponsorship is a multi-step permanent residency process starting with DOL labor certification, followed by an I-140 immigrant petition, and then adjustment of status or consular processing. There is no lottery at the EB-2 or EB-3 level, though nationals of India and China face priority-date backlogs that can extend timelines significantly.
Which EB category is more common for AI ML Engineering roles, EB-2 or EB-3?
EB-2 is more common for senior and research-focused AI ML roles where the employer genuinely requires an advanced degree. EB-3 covers roles where a bachelor's degree is the stated minimum. Your employer's immigration counsel will determine the category based on the actual job duties and minimum requirements set before PERM recruitment begins, not on your personal credentials.
How can I find AI ML Engineering jobs where the employer already sponsors green cards?
Migrate Mate lets you search AI ML Engineering roles specifically filtered by employers with active PERM and I-140 filing history, so you can identify companies that have already navigated the sponsorship process. This is more reliable than asking recruiters upfront, since many hiring managers don't know their own company's PERM history until HR confirms it.
What happens to my green card case if I change employers during the PERM process?
Changing employers before your I-140 is approved restarts the PERM process entirely. Once your I-140 has been approved for at least 180 days, AC21 portability lets you move to a new employer in a same or similar occupational classification without losing your priority date. For AI ML professionals, this typically means staying within SOC codes covering software development or computer and information research science roles.