Machine Learning Green Card Jobs
Machine learning roles sit squarely within EB-2 and EB-3 specialty occupation categories, making them strong candidates for PERM-based green card sponsorship. Employers file a labor certification with DOL before petitioning USCIS, permanently tying your residency to a qualifying ML position rather than a temporary work authorization cycle.
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Get Access To All JobsINTRODUCTION
Adobe is looking for a Senior Machine Learning Engineer to help shape the future of agentic AI in the enterprise. In this role, you will design, build, and scale cutting-edge platforms and products that redefine how enterprises create and optimize customer experiences and marketing campaigns. You will play a key role in advancing AEP Agent Orchestrator —a foundational platform layer that manages and connects Adobe and third-party agents. You will work in a fast-moving, high-impact environment with a team of talent engineers and applied scientists where creativity, collaboration, and data-driven innovation come together to make a real difference.
ROLE AND RESPONSIBILITIES
- Design and development of state-of-the-art agentic AI system and platform powered by generative AI, including working on engineering problems such as defining APIs, integrating with UIs, deploying Cloud services, CICD, etc., as well as implementing ML- and LLM-Ops best practices, delivering high quality, production ready code.
- Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
- Partner with researchers and applied scientists on productization of innovations.
- Engage in the product lifecycle, design, deployment, and production operations.
BASIC QUALIFICATIONS
The ideal candidate will have the following background:
- PhD or MS degree in Computer Science or related field required.
- 5+ years of experience in machine learning, including production-scale deployments.
- Experience with agile development, and short release cycles.
- Good understanding of statistical modeling, machine learning, or analytics concepts; ability to quickly learn new skills and work in a fast-paced team.
- Proficient in one or more programming languages such as Python and Java. Familiarity with cloud development on Azure/AWS.
- Experience using Relational (MySQL, Postgres) and NoSQL datastores (Redis, ElasticSearch, Snowflake) along with data access patterns and strategies.
- Experience working with at least one deep learning framework such as TensorFlow or PyTorch.
- Experience with LLMs including prompt/context-engineering, modern LLM APIs, fine-tuning models etc.
- Experience working with both research and product teams.
- Excellent problem-solving and analytic skills.
- Excellent communication and relationship building skills.
ABOUT ADOBE
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI USE GUIDELINES FOR INTERVIEWS:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
EXPECTED PAY RANGE:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $183,300 - $265,350.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
STATE-SPECIFIC NOTICES:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
INTRODUCTION
Adobe is looking for a Senior Machine Learning Engineer to help shape the future of agentic AI in the enterprise. In this role, you will design, build, and scale cutting-edge platforms and products that redefine how enterprises create and optimize customer experiences and marketing campaigns. You will play a key role in advancing AEP Agent Orchestrator —a foundational platform layer that manages and connects Adobe and third-party agents. You will work in a fast-moving, high-impact environment with a team of talent engineers and applied scientists where creativity, collaboration, and data-driven innovation come together to make a real difference.
ROLE AND RESPONSIBILITIES
- Design and development of state-of-the-art agentic AI system and platform powered by generative AI, including working on engineering problems such as defining APIs, integrating with UIs, deploying Cloud services, CICD, etc., as well as implementing ML- and LLM-Ops best practices, delivering high quality, production ready code.
- Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
- Partner with researchers and applied scientists on productization of innovations.
- Engage in the product lifecycle, design, deployment, and production operations.
BASIC QUALIFICATIONS
The ideal candidate will have the following background:
- PhD or MS degree in Computer Science or related field required.
- 5+ years of experience in machine learning, including production-scale deployments.
- Experience with agile development, and short release cycles.
- Good understanding of statistical modeling, machine learning, or analytics concepts; ability to quickly learn new skills and work in a fast-paced team.
- Proficient in one or more programming languages such as Python and Java. Familiarity with cloud development on Azure/AWS.
- Experience using Relational (MySQL, Postgres) and NoSQL datastores (Redis, ElasticSearch, Snowflake) along with data access patterns and strategies.
- Experience working with at least one deep learning framework such as TensorFlow or PyTorch.
- Experience with LLMs including prompt/context-engineering, modern LLM APIs, fine-tuning models etc.
- Experience working with both research and product teams.
- Excellent problem-solving and analytic skills.
- Excellent communication and relationship building skills.
ABOUT ADOBE
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI USE GUIDELINES FOR INTERVIEWS:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
EXPECTED PAY RANGE:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $183,300 - $265,350.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
STATE-SPECIFIC NOTICES:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
See all 4,001+ Machine Learning jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning roles.
Get Access To All JobsTips for Finding Green Card Sponsorship in Machine Learning
Frame your ML credentials for PERM documentation
PERM requires your employer to prove the role genuinely needs a degree in a specific field. Gather transcripts, publications, and project portfolios that show your machine learning specialization maps directly to the advertised job duties, not just general software engineering.
Target employers with active PERM filing history
Not every tech employer sponsors green cards, even if they hire on H-1B. Search DOL PERM disclosure data to identify companies that have filed labor certifications for ML-specific job titles like 'Machine Learning Engineer' or 'Research Scientist' in the past two years.
Search green card jobs on Migrate Mate
Migrate Mate filters job listings specifically by green card sponsorship history, so you're not guessing which ML employers will file PERM. Use it to surface roles where sponsorship is already part of the hiring process, not an afterthought you negotiate later.
Distinguish EB-2 NIW from employer-sponsored EB-2
If your ML research has national-scale impact, a National Interest Waiver lets you self-petition under EB-2 without a PERM labor certification. Published models, patents, or government-funded research often support NIW eligibility, bypassing the employer-driven recruitment advertising timeline entirely.
Negotiate PERM filing timing before signing an offer
Ask prospective employers whether they will file PERM within your first year, since the Department of Labor recruitment and audit process adds 12 to 18 months before USCIS even sees your I-140. Clarifying this in the offer stage prevents multi-year delays after you've already started.
Verify your ML job title matches DOL wage-level categories
PERM prevailing wages are calculated against specific SOC codes. 'Machine Learning Engineer' and 'Data Scientist' map to different O*NET profiles with different wage levels. Confirm with your employer which SOC code they plan to use via OFLC Wage Search before the labor certification is filed.
Machine Learning jobs are hiring across the US. Find yours.
Find Machine Learning JobsMachine Learning Green Card Sponsorship: Frequently Asked Questions
Do machine learning roles qualify for EB-2 or EB-3 green card sponsorship?
Most machine learning positions qualify under EB-2 because they typically require an advanced degree in computer science, statistics, or a related field and involve work that cannot be performed by someone without that specialized education. Roles at the entry or mid-level that require only a bachelor's degree may fall under EB-3 instead. Your employer's attorney will determine the correct category based on the actual job requirements, not your personal credentials.
How does green card sponsorship differ from H-1B for ML engineers?
H-1B is a temporary work visa capped at 85,000 new slots annually and subject to a lottery. Green card sponsorship through PERM and I-140 is permanent residency with no annual cap at the EB-3 level for most countries outside India and China. The PERM process takes longer up front, often 18 to 24 months from labor certification to I-140 approval, but the outcome is lawful permanent residency rather than a renewable temporary status.
Where can I find machine learning jobs that offer green card sponsorship?
Migrate Mate is built specifically for this search. It surfaces ML job listings filtered by employers with documented green card sponsorship history, so you can focus your applications on companies that have already filed PERM labor certifications for similar roles rather than cold-applying and asking later whether sponsorship is available.
What does the PERM labor certification process require from my employer?
Your employer must conduct a DOL-supervised recruitment campaign to demonstrate that no qualified U.S. worker is available for the role. For ML positions, this typically includes job postings in specific formats over a mandatory 30-day period. DOL reviews the recruitment results before certifying the labor application, which then becomes the foundation for your I-140 immigrant visa petition with USCIS.
Can I switch ML jobs while my green card application is pending?
Portability rules under AC21 allow you to change to a same or similar ML role once your I-140 has been approved and your I-485 adjustment of status application has been pending for at least 180 days. 'Same or similar' is evaluated against the SOC code and job duties on the original petition, so moving from one machine learning engineering role to another typically qualifies, but a significant shift in responsibilities could raise questions.
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