J-1 Visa Machine Learning Jobs
Machine learning roles in the United States are accessible to international professionals through the J-1 visa, most commonly under the Research Scholar or Trainee program category. Designated sponsor organizations issue your DS-2019 and oversee compliance, while your host employer provides the work placement. Finding a host that actively supports J-1 sponsorship is the 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 in Machine Learning
Align your credentials with specialty occupation standards
Machine learning roles typically require a graduate degree in computer science, statistics, or a closely related field. Document your degree equivalency and any published research before approaching host employers, since designated sponsors assess academic fit when issuing the DS-2019.
Target research institutions and national laboratories first
Universities, federally funded research centers, and national laboratories frequently host J-1 visa Research Scholars for machine learning work. These institutions have established relationships with designated sponsors and experience navigating DS-2019 paperwork, reducing friction during the offer stage.
Search Migrate Mate to find J-1-receptive employers
Use Migrate Mate to filter machine learning roles at employers with documented international hiring activity. Host employers already familiar with J-1 program requirements move faster through the training plan and DS-2019 coordination process than employers encountering it for the first time.
Prepare a detailed training plan before negotiations
Designated sponsors require a structured training plan outlining learning objectives, supervision arrangements, and milestones for Trainee and Intern category applicants. Draft a role-specific plan covering ML frameworks, project phases, and mentor details before your host employer submits it for approval.
Verify whether your role triggers the two-year home residency requirement
Some J-1 participants, particularly those funded by their home government or filling skills on the DOS Exchange Visitor Skills List, must return home for two years before changing status. Confirm your country and funding source status with your designated sponsor before accepting an offer.
Confirm prevailing wage compliance with your host employer
Your host employer must pay at least the prevailing wage for the machine learning role and location, as determined by DOL standards. Cross-check the offered rate against the OFLC Wage Search and O*NET occupation data for your specific job title before finalizing your compensation agreement.
Machine Learning J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a machine learning professional?
It depends on your career stage. Current university students pursuing ML internships typically qualify under the Intern category. Early-career professionals with a degree but limited U.S. experience generally fall under the Trainee category. Researchers, postdocs, and faculty engaged in ML research at universities or institutions qualify under Research Scholar, which is the most common path for advanced machine learning work.
Who actually sponsors my J-1 visa for a machine learning role?
The visa sponsor is a U.S. Department of State-designated organization, not your employer. Organizations such as IIE, CIEE, Cultural Vistas, and AIPT administer the program, issue your DS-2019, and monitor compliance. Your hiring employer is the host. The host and the designated sponsor are separate entities with distinct responsibilities in the J-1 process.
How do I find U.S. employers open to hosting J-1 machine learning professionals?
Migrate Mate lets you search machine learning roles at employers with a history of international hiring, making it easier to identify host organizations already familiar with J-1 program logistics. Targeting employers who have hosted J-1 participants before reduces the time spent educating HR teams about DS-2019 requirements and training plan approval processes.
Does the two-year home residency requirement apply to machine learning roles?
It can, depending on your situation. If your home government or a U.S. government agency funded your exchange program, or if your home country lists your occupation on the DOS Exchange Visitor Skills List, you may be subject to the two-year home country physical presence requirement before you can change status or obtain an immigrant visa. Confirm your specific circumstances with your designated sponsor early in the process.
What documents does a machine learning professional need before a designated sponsor can issue the DS-2019?
You'll typically need proof of degree or enrollment, evidence of English proficiency, a detailed training plan co-developed with your host employer, proof of health insurance meeting DOS minimum coverage requirements, and financial documentation showing you can support yourself. For Research Scholar applicants, a CV and publications list are usually required. Your designated sponsor will provide a checklist specific to your program category.