E-3 Visa AI ML Intern Jobs
AI ML Intern roles in the U.S. qualify for E-3 visa sponsorship when the position requires a bachelor's degree in computer science, data science, or a related field. The E-3 has no lottery and no annual cap, so Australian nationals can secure internship roles on a predictable timeline without competing for limited slots.
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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 seeks a Machine Learning Engineer to enhance customer experiences through AI and generative technologies. This is an exciting internship opportunity inside Adobe Firefly’s applied research organization. You will be surrounded by amazing talents who build the Firefly family of models from research inception all the way to production. We offer internship roles situated at different stages of the development pipeline from fundamental research to advanced development to production engineering directly shaping the training and integration of Firefly production models. Your role will center on pioneering data, models, applications and scientific evaluation that shape the future of technology in the realms of images, videos, language and multimodal models. Join us in reshaping the future of technology and customer experiences at Adobe!
WHAT YOU’LL DO
- Work towards results-oriented research goals, while identifying intermediate achievements.
- Contribute to research and advanced development that can be applied to Adobe product development.
- Help integrating novel research work into Adobe Firefly product.
- Lead and collaborate on projects across different teams.
WHAT YOU NEED TO SUCCEED
- Currently enrolled full time and pursuing a Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering or related fields.
- 1+ years of experience in computer vision or natural language processing or machine learning.
- Some experience in Generative AI.
- Experience communicating research to public audiences of peers.
- Experience working in teams.
- Knowledge in Python and typical machine learning development toolkits.
- Ability to participate in a full-time internship between May-September.
If you’re looking to make an impact, Adobe’s the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.
COMPENSATION
- The U.S. pay range for this position is $45.00 - $61.00 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
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
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.
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 applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com 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 (408) 536-3015.
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 seeks a Machine Learning Engineer to enhance customer experiences through AI and generative technologies. This is an exciting internship opportunity inside Adobe Firefly’s applied research organization. You will be surrounded by amazing talents who build the Firefly family of models from research inception all the way to production. We offer internship roles situated at different stages of the development pipeline from fundamental research to advanced development to production engineering directly shaping the training and integration of Firefly production models. Your role will center on pioneering data, models, applications and scientific evaluation that shape the future of technology in the realms of images, videos, language and multimodal models. Join us in reshaping the future of technology and customer experiences at Adobe!
WHAT YOU’LL DO
- Work towards results-oriented research goals, while identifying intermediate achievements.
- Contribute to research and advanced development that can be applied to Adobe product development.
- Help integrating novel research work into Adobe Firefly product.
- Lead and collaborate on projects across different teams.
WHAT YOU NEED TO SUCCEED
- Currently enrolled full time and pursuing a Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering or related fields.
- 1+ years of experience in computer vision or natural language processing or machine learning.
- Some experience in Generative AI.
- Experience communicating research to public audiences of peers.
- Experience working in teams.
- Knowledge in Python and typical machine learning development toolkits.
- Ability to participate in a full-time internship between May-September.
If you’re looking to make an impact, Adobe’s the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.
COMPENSATION
- The U.S. pay range for this position is $45.00 - $61.00 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
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
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.
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 applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com 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 (408) 536-3015.
See all 64+ E-3 Visa AI ML Intern Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa AI ML Intern Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an AI ML Intern
Frame your degree field precisely
E-3 visa eligibility requires a direct connection between your degree and the role. A computer science or data science degree maps cleanly to AI/ML intern positions, but a general IT or business degree needs supporting documentation linking your coursework to machine learning applications.
Target employers enrolled in E-Verify
Internship sponsors must file an LCA with DOL before you can apply. Employers already enrolled in E-Verify have completed federal compliance steps that signal familiarity with visa-sponsored hiring, making the LCA process smoother for both sides.
Negotiate your start date around LCA timing
DOL typically certifies LCAs within seven business days, but your employer needs to request certification before you can book your consulate appointment. Build at least two to three weeks of buffer between your offer acceptance and your intended start date.
Use Migrate Mate's E-3 filing service for intern paperwork
Intern roles add complexity because prevailing wage determinations for entry-level positions differ from full-time roles. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so wage level classifications and job duty descriptions are filed correctly from the start.
Clarify whether the internship converts to full-time
E-3 status is employer-specific. If your internship has a conversion pathway, confirm your employer will file a new LCA for the full-time role. Starting that process before your intern E-3 expires avoids a gap in authorized status.
Prepare academic transcripts with official translations
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 purposes, but consular officers may request academic records. Have certified transcripts ready before your interview to address any degree equivalency questions on the spot.
E-3 Visa AI ML Intern: Frequently Asked Questions
How do I find AI ML Intern jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for E-3 visa-sponsored roles in the U.S. You can filter by job title and see which employers are actively hiring interns on E-3 sponsorship, without sorting through listings that don't offer visa support or that require H-1B lottery selection.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does an AI ML Intern role qualify as a specialty occupation for E-3?
Yes, if the position requires a bachelor's degree or higher in a specific field such as computer science, data science, mathematics, or electrical engineering. The key is that the role must theoretically and practically require that degree. Internships structured as generalist tech support or non-technical rotations may not meet the specialty occupation standard and could face scrutiny at the consulate.
How does the E-3 compare to the H-1B for AI ML Intern roles?
The E-3 has no annual cap and no lottery, so you can apply at any time of year and start as soon as your visa is approved. H-1B selection happens once per year in April and covers roughly one in four registrants. For an internship with a defined start date, the E-3 is the only reliable path for Australian nationals who need predictable timing.
Can I convert my E-3 intern status to a full-time E-3 after graduation?
Yes, but your employer must file a new LCA with DOL for the full-time role because the job duties, wage level, and employment terms will differ from your internship. USCIS treats each E-3 petition as employer-specific, so the new LCA and visa application must accurately reflect the full-time position. Starting that process two to three months before your internship ends prevents a gap in status.