J-1 Visa AI ML Intern Jobs
AI ML Intern positions in the U.S. typically fall under the J-1 Intern category, designed for degree-seeking students or recent graduates pursuing structured training in a field matching their coursework. A State Department-designated sponsor organization issues your DS-2019 and provides sponsorship, while your host employer runs the day-to-day internship program.
See All AI ML Intern JobsOverview
Showing 5 of 184+ AI ML Intern jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 184+ AI ML Intern jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Intern roles.
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 184+ AI ML Intern jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Intern roles.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an AI ML Intern
Align your transcript to your training plan
Your DS-2019 training plan must show a direct connection between your current coursework, such as machine learning or data engineering courses, and the internship tasks. Mismatches between your declared major and the role are a common reason designated sponsors reject applications.
Verify your O*NET classification before applying
Look up the AI ML Intern role on O*NET and confirm the Standard Occupational Classification code. Designated sponsors use this code to validate your training plan, and a wrong code can stall DS-2019 issuance even after a host employer signs off.
Target host employers with existing sponsor relationships
Some U.S. tech companies already have working relationships with designated sponsors like Cultural Vistas or CIEE, which shortens the DS-2019 timeline. Use Migrate Mate to find AI and machine learning roles at employers that have J-1 hosting history.
Confirm the 2-year home residency requirement early
If your home country appears on the Exchange Visitor Skills List, your J-1 may carry a 2-year home residency requirement before you can change to H-1B or green card status. Check this before accepting an offer, not after, since it affects your long-term U.S. career plans.
Ask your host employer to confirm SEVIS fee payment
You must pay the SEVIS I-901 fee before your visa interview, but your host employer sometimes covers it as part of the internship package. Clarify this during the offer stage to avoid paying out-of-pocket for a cost the company may have budgeted.
Negotiate program start dates around DS-2019 processing
Designated sponsors typically need two to four weeks to issue a DS-2019 after receiving a complete training plan from the host employer. Build this window into your offer negotiation so your program start date doesn't slip due to paperwork timing.
AI ML Intern jobs are hiring across the US. Find yours.
Find AI ML Intern JobsAI ML Intern J-1 Visa: Frequently Asked Questions
Which J-1 program category applies to an AI ML Intern role?
Current students and recent graduates pursuing structured AI or machine learning training typically qualify under the J-1 Intern category. To be eligible, you must be enrolled in, or have graduated from within the past 12 months from, a post-secondary academic program outside the U.S. The internship must directly relate to your field of study, so a computer science or data science background is the usual qualifying credential.
Who actually sponsors my J-1 visa for an AI ML internship?
The J-1 visa sponsor is a U.S. Department of State-designated organization, such as Cultural Vistas, CIEE, or IIE, not your host employer. The designated sponsor issues your DS-2019 form, monitors program compliance, and acts as your official point of contact with the State Department. Your host employer runs the internship itself but is not the legal sponsor of your visa.
Does the J-1 Intern category allow me to work on live AI models or proprietary data?
Yes, but your training plan must describe those activities specifically. Designated sponsors review training plans carefully, and vague descriptions like 'assist with AI projects' are often sent back for revision. List the tools you'll use, the models you'll train, and the datasets you'll work with. The more technical detail in the plan, the faster the DS-2019 is typically approved.
How do I find U.S. employers that host J-1 interns in AI and machine learning?
Use Migrate Mate to search for AI ML Intern roles at U.S. employers with J-1 hosting history. Many tech companies list open internship positions but don't advertise their J-1 eligibility directly in job postings. Filtering by visa-friendly employers saves time and helps you target hosts that already understand the DS-2019 and training plan process.
Can I extend my J-1 AI ML internship beyond the initial program end date?
Extensions are possible but require your designated sponsor's approval before your current DS-2019 expires. The total J-1 Intern program, including any extensions, cannot exceed 12 months. Your host employer must submit a revised training plan justifying the extension, and the sponsor must issue an updated DS-2019. Requests submitted after the program end date cannot be approved retroactively.
See which AI ML Intern employers are hiring and sponsoring visas right now.
Search AI ML Intern Jobs