J-1 Visa Machine Builder Jobs
Machine Builder positions in the United States are available to international professionals through J-1 visa sponsorship under the Trainee or Intern program categories, which are administered by State Department-designated sponsor organizations. These programs support hands-on technical training in manufacturing and industrial assembly environments for durations up to 18 months.
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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 218+ Machine Builder jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Builder roles.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Machine Builder
Verify your training plan matches your credentials
Your DS-2019 training plan must show a direct connection between your prior education or work experience and the machine-building tasks you'll perform in the U.S. Gaps between your background and the host employer's program are the most common reason sponsor organizations reject applications before issuance.
Target manufacturers with established international training programs
Host employers in precision manufacturing, CNC machining, and industrial assembly are more likely to have existing relationships with designated sponsor organizations. Look for job postings that explicitly reference J-1 training agreements or mention structured mentorship and rotation schedules rather than standard employment terms.
Search role-specific listings on Migrate Mate
Use Migrate Mate to filter for Machine Builder roles at U.S. employers aligned with J-1 sponsorship. The platform surfaces opportunities where host employers are already familiar with the Trainee or Intern category requirements, reducing the back-and-forth in early conversations.
Confirm your wage meets DOL prevailing standards
Before signing any training agreement, verify that your offered compensation meets the prevailing wage for your location and role classification. Use the OFLC Wage Search to look up the applicable rate for Machine Builder positions in your target metro area.
Clarify the two-year home residency rule early
J-1 Trainee and Intern participants whose programs are government-funded or who come from certain countries may be subject to a two-year home residency requirement after completing the program. Confirm your status with the designated sponsor before accepting an offer, since this affects your ability to change to H-1B or other work visas afterward.
Request a detailed training plan outline from the host employer
The designated sponsor organization, such as CIEE or Cultural Vistas, will require a structured training plan before issuing your DS-2019. Ask the host employer to draft this document early in the hiring process, specifying weekly objectives, equipment exposure, and supervisor names by department.
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Find Machine Builder JobsMachine Builder J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Machine Builder role?
Most Machine Builder positions fall under the J-1 Trainee category, which covers individuals who have a degree or professional certificate outside the U.S. and at least one year of prior work experience in their field. If you're a current student or recent graduate within 12 months of completing your degree, the Intern category may apply instead. Both categories require a structured training plan approved by a State Department-designated sponsor organization.
Who actually sponsors the J-1 visa for a Machine Builder position?
The visa sponsor is not your employer. It's a U.S. Department of State-designated organization, such as CIEE, Cultural Vistas, or AIPT, that issues your DS-2019 form and monitors your program compliance. The manufacturing company where you work is the host employer. You'll have a contract with both: the host employer for your training activities and compensation, and the designated sponsor for your visa status and reporting obligations.
How long can I work as a Machine Builder on a J-1 Trainee visa?
The J-1 Trainee category allows a maximum program duration of 18 months. Extensions beyond this are not permitted within the same program, and there is no annual cap or lottery for the J-1 visa. After completing the program, you must leave the U.S. unless you qualify for a change of status, which may be restricted if you're subject to the two-year home residency requirement.
How do I find U.S. employers open to J-1 Machine Builder candidates?
Use Migrate Mate to search for Machine Builder roles at U.S. employers familiar with J-1 program requirements. Many manufacturers do not advertise J-1 compatibility in standard job postings, so filtering by sponsorship alignment saves time. Once you identify a host employer, the designated sponsor organization handles the DS-2019 issuance and training plan approval on your behalf.
Can a Machine Builder on J-1 status switch employers mid-program?
Changing host employers mid-program requires your designated sponsor organization to approve a program amendment or terminate your current DS-2019 and initiate a new one with the incoming employer. This process is not guaranteed and depends on whether the new host qualifies under the original program category. You cannot begin work at the new employer until the sponsor issues an updated DS-2019 and your J-1 status reflects the change.
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