J-1 Visa Machine Learning Engineer Jobs
Machine Learning Engineer roles in the United States are typically sponsored under the J-1 Research Scholar or Trainee program category, depending on your career stage. Securing sponsorship means a U.S. Department of State-designated organization issues your DS-2019, while your host employer provides the technical training environment.
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Get Access To All JobsINTRODUCTION
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.
THE OPPORTUNITY
Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.
By using predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.
All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.
WHAT YOU’LL DO
-
Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.
-
Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems.
-
Collaborate with product management and engineering groups to develop new products and features.
WHAT YOU NEED TO SUCCEED
-
Currently enrolled full time and pursuing a Bachelors, Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 – June 2027.
-
Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
-
Proficient in one or more programming languages such as Python, Java and C.
-
Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn.
-
Strong analytical and quantitative problem-solving ability.
-
Excellent communication, relationship skills and a team player.
-
Ability to participate in a full-time internship between May-September.
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 $45.00 -- $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.
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
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.
THE OPPORTUNITY
Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.
By using predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.
All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.
WHAT YOU’LL DO
-
Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.
-
Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems.
-
Collaborate with product management and engineering groups to develop new products and features.
WHAT YOU NEED TO SUCCEED
-
Currently enrolled full time and pursuing a Bachelors, Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 – June 2027.
-
Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
-
Proficient in one or more programming languages such as Python, Java and C.
-
Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn.
-
Strong analytical and quantitative problem-solving ability.
-
Excellent communication, relationship skills and a team player.
-
Ability to participate in a full-time internship between May-September.
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 $45.00 -- $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.
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 200+ 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 J-1 Visa Sponsorship as a Machine Learning Engineer
Align your credentials to specialty occupation standards
J-1 Training Plans require your degree field to map directly to the ML engineering work you'll perform. Document coursework in statistics, neural networks, or distributed systems before approaching host employers, since designated sponsors vet this match during DS-2019 review.
Distinguish Research Scholar from Trainee eligibility early
If you hold a postgraduate degree and have an established research record, the Research Scholar category fits better than Trainee. Trainee is capped at 18 months total, which limits ML project timelines that typically run longer.
Target host employers with existing J-1 infrastructure
Use Migrate Mate to find U.S. employers already hosting J-1 exchange visitors in engineering roles. These organizations have signed host agreements with designated sponsors and understand the Training Plan documentation you'll need to complete.
Build a project portfolio that maps to O*NET task definitions
Designated sponsors use O*NET occupation profiles to validate that your ML training objectives match recognized U.S. job duties. Structure your portfolio around model development, data pipeline engineering, and evaluation metrics so your Training Plan reflects documented occupational tasks.
Clarify the two-year home residency requirement before accepting an offer
Research Scholar and Specialist J-1 holders from certain countries, or in government-funded fields, face a two-year home-country return requirement before changing status. Confirm your eligibility for a 212(e) waiver with your designated sponsor before signing an employment offer.
Negotiate the Training Plan scope during offer discussions
The J-1 Training Plan is a legal document your host employer and designated sponsor both sign. Before your start date, confirm that the plan specifies ML-specific rotations, tools, and measurable outcomes, since vague objectives delay DS-2019 issuance and can limit program extensions.
Machine Learning Engineer jobs are hiring across the US. Find yours.
Find Machine Learning Engineer JobsMachine Learning Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Machine Learning Engineer role?
It depends on your career stage. Current graduate students pursuing ML research typically qualify under the Research Scholar or Short-Term Scholar category. Early-career professionals who have graduated within the past 12 months and want structured industry training use the Trainee category, which runs up to 18 months. Postdoctoral researchers at universities or national labs usually qualify as Research Scholars through a university-affiliated designated sponsor.
Who actually sponsors the J-1 visa for an ML engineering position?
Your visa sponsor is a U.S. Department of State-designated organization, not your employer. Organizations like IIE, Cultural Vistas, or CIEE issue the DS-2019 form and administer program compliance. Your employer is the host organization that provides the technical training environment and signs the Training Plan. Conflating the two is the most common source of confusion when negotiating job offers.
How do I find U.S. employers that are set up to host J-1 engineers?
Many employers have hosted J-1 exchange visitors before but don't advertise it in job listings. Migrate Mate surfaces roles and employers specifically aligned with J-1 sponsorship pathways, so you can focus your applications on organizations that already have host agreements in place rather than pitching unfamiliar employers on the program from scratch.
Does the two-year home residency requirement apply to ML engineers?
It can. The 212(e) two-year home-country return requirement applies to J-1 holders whose participation was funded by their home government or the U.S. government, or who are nationals of a country designated by the State Department as needing their skills. ML engineers on Research Scholar visas funded by U.S. federal research grants are particularly likely to be subject to this requirement. Confirm your status with your designated sponsor before accepting any offer that leads toward an H-1B or green card.
What does a J-1 Training Plan need to include for an ML engineering role?
The Training Plan must specify the ML-related tasks you'll perform in the U.S., the tools and technologies involved, measurable performance benchmarks, and the name of your on-site supervisor. Designated sponsors use this document to verify that the program qualifies as genuine training rather than standard employment. Vague plans that list only general software engineering duties are routinely rejected, delaying DS-2019 issuance.
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