J-1 Visa ML Engineer Jobs

ML Engineer roles in the United States are accessible to exchange visitors through the J-1 visa, typically under the Research Scholar, Trainee, or Intern program categories depending on your career stage. Finding a host employer willing to work with a designated sponsor organization for DS-2019 sponsorship is the critical first step.

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Overview

Open Jobs200+
Top Visa TypeJ-1
Work Type74% On-site
Median Salary$48K
Top LocationSan Jose, CA
Most JobsTikTok

Showing 5 of 200+ ML Engineer jobs

TikTok
ML Engineer Research Intern
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TikTok
Added 3w ago
ML Engineer Research Intern
TikTok
San Jose, California
Software Engineering
Data Science & Analytics
Data Engineering
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
$60/hr - $60/hr
On-Site
Doctorate
10,000+

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Typeface
ML Engineer Intern
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Typeface
Added 2mo ago
ML Engineer Intern
Typeface
Palo Alto, California
Software Engineering
AI (Artificial Intelligence)
ML (Machine Learning)
$40/hr - $60/hr
Hybrid
Bachelor's

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EnerSys
Graduate ML Engineering Intern
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EnerSys
Added 1w ago
Graduate ML Engineering Intern
EnerSys
Reading, Pennsylvania
Data Science & Analytics
Software Engineering
Data Engineering
Data Science
AI (Artificial Intelligence)
ML (Machine Learning)
$35/hr - $40/hr
On-Site
Master's
10,000+

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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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Tips for Finding J-1 Visa Sponsorship as a ML Engineer

Align your ML specialization with J-1 categories

Research Scholar suits PhD-level ML researchers at universities or labs. Trainee fits early-career professionals with a degree and some work experience. Intern applies to current graduate students. Matching your profile to the right category before applying prevents DS-2019 delays.

Document your ML coursework and project outputs

Designated sponsor organizations require a detailed training plan tied to your field of study. Compile course transcripts, GitHub repositories, published papers, or capstone projects that demonstrate your ML focus before your host employer submits training plan documentation.

Target host employers with existing DS-2019 experience

Search for ML Engineer roles at universities, national labs, and research-driven tech firms that already host J-1 exchange visitors. Use Migrate Mate to filter for U.S. employers and roles aligned with J-1 sponsorship before reaching out.

Clarify the two-year home residency requirement early

Many ML Engineer J-1 participants, particularly Research Scholars funded by government sources, are subject to the two-year home residency requirement under INA Section 212(e). Confirm whether your program triggers this rule before accepting an offer, as it affects future H-1B or green card eligibility.

Verify your host employer can support a training plan

Your host organization must sign a formal training plan with your designated sponsor and demonstrate capacity to supervise your ML work. Confirm this before an offer is extended, since employers unfamiliar with J-1 obligations often withdraw after learning the administrative requirements.

Check DOL wage compliance for your ML role

Although J-1 is not employer-sponsored like H-1B, host employers must pay exchange visitors wages commensurate with similarly situated U.S. workers. Use the OFLC Wage Search and O*NET to benchmark ML Engineer compensation in your target location before negotiating your offer.

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ML Engineer J-1 Visa: Frequently Asked Questions

Which J-1 program category fits an ML Engineer role?

It depends on your career stage. Current graduate students pursuing ML internships fall under the Intern category. Early-career professionals with a relevant degree and at least one year of work experience use the Trainee category. PhD-level researchers joining a university lab or national research institute typically qualify under Research Scholar, which is the most common path for senior ML roles.

Who actually sponsors a J-1 visa for an ML Engineer?

The visa sponsor is a U.S. Department of State-designated organization, such as IIE, CIEE, Cultural Vistas, or AIPT, that issues your DS-2019 and monitors program compliance. Your hiring organization is the host employer, not the sponsor. The host must agree to work with a designated sponsor and sign a training plan, but they do not file any petition directly with USCIS.

How do I find U.S. employers open to hosting a J-1 ML Engineer?

Start with Migrate Mate to identify U.S. employers and ML Engineer roles that align with J-1 sponsorship. Prioritize universities, government-affiliated research institutes, and established tech companies with prior J-1 hosting experience. Smaller startups often lack the internal HR infrastructure to navigate the training plan and designated sponsor relationship.

Does the two-year home residency requirement affect ML Engineers on J-1?

It can. The two-year home residency requirement under INA Section 212(e) applies when your J-1 program is government-funded, your home country lists your field on the exchange visitor skills list, or you enter as a government-sponsored visitor. If it applies, you must return to your home country for two years before obtaining an H-1B or immigrant visa unless you receive a waiver.

Can a J-1 ML Engineer work on independent projects or side contracts during their program?

No. J-1 exchange visitors are authorized to work only for the host employer named on their DS-2019 and only in the capacity described in the training plan. Freelance ML contracts, consulting work, or side projects for other organizations are not permitted during your exchange program, regardless of whether the work is remote or unpaid.

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