Machine Learning Engineer Green Card 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 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 3,884+ Machine Learning Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer roles.
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.
Machine Learning Engineer jobs are hiring across the US. Find yours.
Find Machine Learning Engineer JobsMachine Learning Engineer Green Card Sponsorship: 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 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.
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