J-1 Visa AI ML Platform Jobs

AI ML Platform roles in the United States are available to exchange visitors under the J-1 Trainee or Research Scholar program category, depending on your career stage. A State Department-designated sponsor organization issues your DS-2019 and provides sponsorship, while your U.S. host employer focuses on the technical training or research placement itself.

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Overview

Open Jobs211+
Top Visa TypeJ-1
Work Type75% On-site
Median Salary$52K
Top LocationSan Jose, CA
Most JobsTikTok

Showing 5 of 211+ AI ML Platform jobs

Micron Idaho Semiconductor Manufacturing (Triton)
Intern - Validation Strategy AI/ML
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Micron Idaho Semiconductor Manufacturing (Triton)
Added 3d ago
Intern - Validation Strategy AI/ML
Micron Idaho Semiconductor Manufacturing (Triton)
San Jose, California
Software Engineering
Data Science & Analytics
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
Data Analytics
Not listed
On-Site
Associate's

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pSemi
Intern, AI/ML Software Engineer
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pSemi
Added 5d ago
Intern, AI/ML Software Engineer
pSemi
San Diego, California
Software Engineering
Data Science & Analytics
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
Backend Engineering
$32/hr - $58/hr
On-Site
Bachelor's
501-1,000

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Adobe
AI/ML Intern - Machine Learning Engineer
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Adobe
Added 1w ago
AI/ML Intern - Machine Learning Engineer
Adobe
San Jose, California
Data Science & Analytics
Software Engineering
Data Science
AI (Artificial Intelligence)
ML (Machine Learning)
Revenue Operations & Enablement
$45/hr - $55/hr
Hybrid
Bachelor's
10,000+

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Skyworks Solutions
AI & Machine Learning Summer/Fall Co-Op
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Skyworks Solutions
Added 3w ago
AI & Machine Learning Summer/Fall Co-Op
Skyworks Solutions
Irvine, California
Software Engineering
Data Science & Analytics
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
$22/hr - $42/hr
On-Site
Bachelor's
5,001-10,000

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Rocket Lawyer
AI/ML Software Engineer
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Rocket Lawyer
Added 1mo ago
AI/ML Software Engineer
Rocket Lawyer
Utah
Software Engineering
Data Science & Analytics
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
Backend Engineering
$190,000/yr
On-Site
5+ yrs exp.
Bachelor's

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Tips for Finding J-1 Visa Sponsorship in AI ML Platform

Document your ML credentials before applying

Assemble transcripts, project portfolios, and letters confirming hands-on experience with model training infrastructure, MLOps pipelines, or distributed compute systems. Designated sponsors evaluate technical depth when approving your DS-2019 training plan.

Distinguish Trainee from Research Scholar eligibility

The Trainee category fits early-career professionals with a degree plus one year of relevant experience. Research Scholar applies if your AI ML Platform work is tied to a university, national lab, or recognized research institution, not a commercial product team.

Target host employers with established J-1 track records

Search Migrate Mate to find U.S. companies that have hosted J-1 exchange visitors in AI and ML roles. Employers already familiar with the host-organization agreement and training plan requirements move significantly faster through onboarding.

Build a role-specific J-1 training plan early

Your DS-7002 training plan must map each phase of the placement to concrete ML skills, tools, and measurable outcomes. Generic plans are frequently rejected. Align the plan to the specific platform engineering or model deployment work the host employer has described.

Verify the 2-year home residency requirement applies to you

If your home government funded your education or your occupation appears on the Exchange Visitor Skills List, you may face a 2-year return requirement before changing status. Confirm your status with USCIS before accepting a host employer offer that assumes direct H-1B transition.

Confirm the host employer can execute a compliant agreement

The designated sponsor, not the employer, issues your DS-2019, but the host organization must sign a formal host agreement and designate a responsible officer point of contact. Smaller AI startups sometimes lack this infrastructure, which stalls or voids placements.

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AI ML Platform J-1 Visa: Frequently Asked Questions

Which J-1 program category fits AI ML Platform roles?

It depends on your career stage and host setting. The Trainee category applies to professionals with a relevant degree and at least one year of post-degree experience in software engineering or data systems. The Research Scholar category applies if your ML platform work is conducted within a university, national lab, or accredited research institute rather than a commercial technology company.

Who actually sponsors my J-1 visa for an AI ML Platform position?

Your visa sponsor is a U.S. Department of State-designated organization such as IIE, CIEE, Cultural Vistas, or AIPT. They issue your DS-2019 form, approve your DS-7002 training plan, and monitor your placement for regulatory compliance. Your U.S. host employer is not the visa sponsor. They are the host organization where the actual AI and ML platform training takes place.

How do I find U.S. employers willing to host J-1 exchange visitors in AI and ML?

Use Migrate Mate to search for AI ML Platform roles at companies that have demonstrated J-1 hosting experience. Many employers in this space are comfortable with the host-organization agreement process because they already hire international talent, but finding ones with direct J-1 familiarity shortens the onboarding timeline significantly.

Does the 2-year home residency requirement affect AI ML Platform professionals?

It can. If your country of nationality appears on the DOS Exchange Visitor Skills List for computer science or engineering disciplines, or if your education was funded by your home government, you may be subject to the 2-year foreign residency requirement after your J-1 period ends. This affects your ability to change status to H-1B or apply for a green card without first obtaining a waiver. Confirm your situation with USCIS before finalizing any offer.

What should my J-1 training plan include for an AI ML Platform role?

The DS-7002 training plan must detail each phase of your placement with specific skills, tools, and measurable learning outcomes. For AI ML Platform roles, that typically means listing distinct phases covering infrastructure setup, model lifecycle management, experiment tracking systems, and deployment pipelines. Your designated sponsor must approve the plan before issuing the DS-2019, so vague or overly broad descriptions will delay or block your placement.

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