Green Card ML Research Engineer Jobs
ML Research Engineer roles qualify for EB-2 green card sponsorship when the position requires an advanced degree in machine learning, computer science, or a related field. Employers file a PERM labor certification with DOL before sponsoring your I-140 petition, starting the path to permanent residency rather than a renewable work visa.
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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 2,243+ Green Card ML Research Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card ML Research Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a ML Research Engineer
Document your research contributions before applying
Publications, patents, conference presentations, and open-source contributions strengthen your PERM case and support an EB-2 classification. Compile these into a credentials portfolio before you reach the offer stage, since employers will need them for the I-140 petition.
Target labs with established PERM filing history
Research divisions at large tech companies and national labs file PERM applications regularly and have dedicated immigration counsel on retainer. These employers already understand the ML Research Engineer job duties DOL expects to see in the labor certification.
Use Migrate Mate to find green-card-sponsoring ML employers
Search Migrate Mate to surface employers with active EB-2 and EB-3 sponsorship history for research engineering roles. This filters out postings where sponsorship is stated as possible but has no track record behind it.
Understand how your country affects priority date timing
EB-2 and EB-3 visa backlogs vary significantly by birth country. If you're born in India or China, the wait for a current priority date can stretch years, so confirming your category and country situation early shapes how you negotiate offer timelines with employers.
Confirm the job description matches DOL specialty occupation criteria
PERM requires the posted role to specify a minimum of a bachelor's degree in a directly related field. Vague ML Research Engineer descriptions listing preferred qualifications instead of required ones can trigger a DOL audit or denial during labor certification.
Ask whether the employer uses concurrent I-485 filing
When a visa number is immediately available, some employers file the I-485 adjustment of status concurrently with the I-140, cutting overall processing time. Clarify this with the employer's immigration counsel before signing an offer, since USCIS processing windows affect your work authorization continuity.
Green Card ML Research Engineer: Frequently Asked Questions
Does an ML Research Engineer role qualify for EB-2 or EB-3 green card sponsorship?
ML Research Engineer positions typically qualify for EB-2 because the role requires at minimum a master's degree or a bachelor's degree plus at least five years of progressive research experience in machine learning or a related field. Employers document this requirement in the PERM labor certification. EB-3 is available for candidates whose credentials or the specific job description fit the skilled worker category instead.
How does PERM green card sponsorship differ from H-1B sponsorship for this role?
H-1B visa is a temporary work visa subject to an annual lottery and a six-year maximum stay. PERM-based green card sponsorship leads to permanent residency with no renewal required. There is no lottery for EB-2 or EB-3 categories, though per-country visa backlogs can extend the timeline for nationals of India and China. The PERM process also requires the employer to conduct a supervised recruitment process with DOL before filing the I-140 petition.
What does the PERM labor certification process look like for an ML Research Engineer?
The employer files a PERM application with DOL after completing a supervised recruitment process that demonstrates no qualified U.S. workers were available for the role. For ML Research Engineer positions, the job description must specify a minimum degree requirement in a directly related field such as computer science or machine learning. DOL processing currently averages several months before certification, after which the employer files the I-140 immigrant petition with USCIS.
How can I find ML Research Engineer jobs where the employer will sponsor a green card?
Migrate Mate lets you search specifically for employers with verified EB-2 and EB-3 sponsorship history for research engineering roles, so you're not relying on job postings that claim sponsorship is possible without any track record. Filtering by sponsorship history saves significant time compared to applying broadly and discovering late in the process that an employer won't commit to PERM.
Can I use O*NET to verify that my ML Research Engineer role qualifies as a specialty occupation?
Yes. The O*NET occupation profile for machine learning or related research engineering titles lists the typical education and training requirements that DOL uses when reviewing PERM applications. If the O*NET profile for your specific job code shows a requirement of a bachelor's or higher degree in a directly related field, that supports the employer's specialty occupation argument in both the PERM labor certification and the I-140 petition.