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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Get Access To All JobsINTRODUCTION
One postdoctoral or Research Scientist position of machine learning or simulations of polymers, biomaterials or nanomaterials is available in the Department of Biomedical Engineering at the University of South Carolina. This position is for the projects about polymers, biomaterials, enzymes, or nanomaterials using machine learning or/and multiscale simulations. The appointment will be 1-2 years.
BASIC QUALIFICATIONS
- Expertise in machine learning / AI for material design, or materials simulations (QM/MM, DFT, AIMD, coarse-grained MD, atomistic MD simulations, phase-field method, cellular simulation, or Monte Carlo).
- Good programming skills.
KNOWLEDGE/SKILLS/ABILITIES
Knowledge in one or more of the following areas:
1) machine learning or AI for the materials design;
2) experience in the quantum chemistry and software (QChem, CP2K, Quantum Expresso or VASP);
3) metadynamics simulations or the development of coarse-grained forcefield parameters would be a plus.
APPLICATION INSTRUCTIONS
Interested applicants should first send a CV via email to Dr. Tao Wei's university email (taow@mailbox.sc.edu). Please don’t submit your CV to linkedin.
In the CV, please detail the manner in which your skills can be applied to the proposed research. The short-listed applicants will be contacted for an online interview. Applications will be accepted until the position is filled. My group also has multiple PhD student positions in the materials simulations or machine learning. Welcome to apply.
COMPENSATION
- Pay: $57,000.00 - $60,000.00 per year
BENEFITS
- 401(k)
- Health insurance
LOCATION
Work Location: In person
INTRODUCTION
One postdoctoral or Research Scientist position of machine learning or simulations of polymers, biomaterials or nanomaterials is available in the Department of Biomedical Engineering at the University of South Carolina. This position is for the projects about polymers, biomaterials, enzymes, or nanomaterials using machine learning or/and multiscale simulations. The appointment will be 1-2 years.
BASIC QUALIFICATIONS
- Expertise in machine learning / AI for material design, or materials simulations (QM/MM, DFT, AIMD, coarse-grained MD, atomistic MD simulations, phase-field method, cellular simulation, or Monte Carlo).
- Good programming skills.
KNOWLEDGE/SKILLS/ABILITIES
Knowledge in one or more of the following areas:
1) machine learning or AI for the materials design;
2) experience in the quantum chemistry and software (QChem, CP2K, Quantum Expresso or VASP);
3) metadynamics simulations or the development of coarse-grained forcefield parameters would be a plus.
APPLICATION INSTRUCTIONS
Interested applicants should first send a CV via email to Dr. Tao Wei's university email (taow@mailbox.sc.edu). Please don’t submit your CV to linkedin.
In the CV, please detail the manner in which your skills can be applied to the proposed research. The short-listed applicants will be contacted for an online interview. Applications will be accepted until the position is filled. My group also has multiple PhD student positions in the materials simulations or machine learning. Welcome to apply.
COMPENSATION
- Pay: $57,000.00 - $60,000.00 per year
BENEFITS
- 401(k)
- Health insurance
LOCATION
Work Location: In person
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Get Access To All JobsTips 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 visa exchange visitors. Use Migrate Mate to filter for U.S. employers and roles aligned with J-1 visa 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 visa 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.
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.