AI ML Intern Jobs in USA with Visa Sponsorship
AI/ML intern roles are among the most actively sponsored positions in tech, with employers regularly filing H-1B visa and OPT-eligible roles for candidates in computer science, data science, and related fields. Most require enrollment in a qualifying degree program and authorization to work through CPT or OPT. For detailed occupation requirements, see the O*NET profile.
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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 217+ 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 Visa Sponsorship as an AI ML Intern
Align your degree field with the internship description
Specialty occupation requirements mean your degree field must directly relate to the role. A computer science or statistics degree supports most AI/ML positions, while an unrelated major can create sponsorship complications later.
Ask about return offer and full-time sponsorship policies early
Ask recruiters directly whether the company sponsors H-1B petitions for international interns who receive full-time offers. Getting clarity before accepting saves time if the employer only hires citizens and permanent residents for permanent roles.
Prioritize cap-exempt employers for maximum flexibility
Universities, nonprofit research institutions, and government-affiliated labs are exempt from the H-1B cap. AI/ML internships at these organizations offer a path to sponsored employment without depending on the annual lottery.
Have your I-20 and CPT authorization ready before your start date
Employers cannot let you begin work without valid CPT authorization on your I-20. Coordinate with your Designated School Official weeks in advance to avoid delays that could push back your internship start date.
AI ML Intern jobs are hiring across the US. Find yours.
Find AI ML Intern JobsFrequently Asked Questions
Can international students work as AI/ML interns in the U.S. on an F-1 visa?
Yes, F-1 students can work as AI/ML interns using Curricular Practical Training during their program or Optional Practical Training after graduation. CPT requires your internship to be directly tied to your major and approved by your school. OPT gives you up to 12 months of work authorization, with a 24-month STEM extension available for qualifying degrees in computer science, data science, or a related field.
Do AI/ML internships count toward STEM OPT extension eligibility?
They can, provided your degree is on the STEM Designated Degree Program List and your employer is enrolled in E-Verify. Computer science, electrical engineering, statistics, and mathematics degrees typically qualify. The internship itself does not determine STEM OPT eligibility, but working in a role directly related to your STEM degree is required to maintain valid status during the extension period.
Which employers are most likely to sponsor AI/ML interns for H-1B after a full-time offer?
Large technology companies, AI-focused startups with institutional funding, and research-heavy firms in finance and healthcare have the strongest track records of converting international interns to H-1B employees. Cap-exempt employers including universities and nonprofit research labs can file H-1B petitions outside the lottery entirely. You can browse AI/ML roles from verified sponsoring employers on Migrate Mate to identify companies with active sponsorship histories.
Does my degree need to be in computer science to qualify for an AI/ML intern role under specialty occupation rules?
Not strictly, but your degree must be directly relevant to the specific role. Computer science, data science, mathematics, statistics, and electrical engineering degrees are the most defensible. A degree in a loosely related field, such as economics with a data focus, may qualify if the job description emphasizes quantitative skills. Roles requiring only general analytical ability without a specific degree field are harder to support under specialty occupation standards.
What happens to my work authorization if my AI/ML internship ends before my CPT end date?
If your internship ends early, you must stop working immediately. CPT authorization is tied to a specific employer and time period, so you cannot transfer it to another company or extend it without a new I-20 from your school. Notify your Designated School Official promptly. Unauthorized work, even briefly, can jeopardize your F-1 status and future visa applications, including any pending OPT or H-1B filings.
What is the prevailing wage requirement for sponsored AI ML Intern jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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