TN Visa AI ML Intern Jobs
AI ML Intern roles qualify for TN visa sponsorship under the Computer Systems Analyst or Engineer categories when the position requires applying machine learning frameworks to real engineering problems. Canadian citizens can secure TN status at the border in a single day. Mexican nationals follow the consular process with a capped annual allocation.
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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 147+ 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 TN Visa Sponsorship as an AI ML Intern
Frame your credentials around TN-eligible categories
AI ML Intern roles don't have a dedicated TN category. Your bachelor's degree in computer science, software engineering, or a quantitative field must map cleanly to Computer Systems Analyst or Engineer. Ensure your transcripts and diploma reflect that alignment before you apply.
Target employers with recent visa filings in ML roles
Search for companies with recent visa filings in machine learning or AI engineering roles. These employers have experience sponsoring work visas and are far less likely to treat sponsorship as an obstacle. When applying, look for organizations that have demonstrated commitment to hiring international talent—they'll already have the infrastructure and processes in place to support your TN visa application at the port of entry or consulate.
Get your TN support letter reviewed before the border
For Canadian citizens, CBP adjudicates TN petitions at the port of entry in one visit. A weak employer support letter describing your role as a 'research assistant' rather than a Computer Systems Analyst can result in same-day denial. Use Migrate Mate to prepare documentation that matches CBP's specialty occupation expectations.
Negotiate the offer letter before filing begins
Your offer letter is a TN document, not just an HR formality. It must specify your job title, duties, degree requirement, and duration. Request a draft before your start date is set so the employer can revise it without delaying your entry.
Understand how internship duration affects your TN window
TN status is granted for up to three years per entry. A 12-week internship doesn't automatically expire your TN, but converting to a full-time role requires a new TN filing reflecting updated duties. Clarify the conversion path with your employer during the offer stage, not after.
Ask whether the employer is E-Verify enrolled before accepting
Most large tech and defense employers are enrolled in E-Verify, which is required for any role involving federal contracts. Confirm enrollment status during the offer stage so there are no onboarding delays after your TN is approved.
AI ML Intern jobs are hiring across the US. Find yours.
Find AI ML Intern JobsAI ML Intern TN Visa: Frequently Asked Questions
Does an AI ML Intern role actually qualify for TN visa status?
It depends on how the role is scoped. There's no TN category called 'AI ML Intern,' but roles requiring a bachelor's degree in computer science, engineering, or a quantitative discipline can qualify under Computer Systems Analyst or Engineer. The key is that your job duties must reflect applied technical work, not general business support or administrative tasks.
How does TN visa compare to H-1B for AI ML Intern positions?
TN has no annual lottery, no cap for Canadians, and can be issued at the border the same day for citizens of Canada. H-1B registration runs once a year in March with a random selection process, meaning you could wait over a year for a valid start date. For an internship timeline, TN is almost always the faster and more predictable path for eligible nationals.
Where can I find AI ML Intern jobs that include TN visa sponsorship?
Most general job boards don't filter by visa sponsorship type, which means you'll spend time on roles where TN isn't an option. Migrate Mate is built specifically for TN visa job seekers and surfaces AI and engineering internship openings at employers with documented sponsorship history, so you can focus on companies already set up to support TN filings.
Can a Mexican national get TN status for an AI ML Intern role?
Yes, but the process differs from Canada. Mexican nationals apply through a U.S. consulate rather than at the border, and TN status for Mexico is subject to an annual cap under USMCA. The same specialty occupation rules apply: your degree must align with a qualifying TN category and your job duties must reflect that technical scope.
What happens to my TN status if my internship ends early or converts to a full-time role?
If your internship ends early, your TN status is technically tied to that employer and role. Starting a new full-time position requires a new TN filing with updated documentation reflecting your new title and duties. Canadians can file at the border for the new role. Mexican nationals need to return to a consulate. Plan this transition before your last day, not after.
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