J-1 Visa Senior ML Engineer Jobs
Senior ML Engineer roles in the U.S. are accessible to international professionals through the J-1 visa under the Research Scholar or Trainee program category, depending on your career stage. A U.S. Department of State-designated sponsor organization issues your DS-2019 and arranges sponsorship, while the hiring company serves as your host.
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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 Senior ML Engineer
Align your credentials to specialty occupation standards
Before applying, verify that your ML engineering background maps to a specialty occupation under O*NET. Reviewers look for degree-level training in computer science, statistics, or a directly related field, not just years of experience.
Flag the two-year home residency requirement early
Research Scholar and some Trainee J-1 visa categories carry a two-year home residency requirement if your role is government-funded or on the Skills List. Confirm your country and funding source with your designated sponsor before accepting any offer.
Target host employers with established training plan experience
Host companies must co-sign a formal training plan (DS-7002) with your designated sponsor. Look for research labs, AI teams at universities, and tech firms that have hosted J-1 Trainees or Research Scholars before, because they already understand that document.
Search for J-1-compatible roles on Migrate Mate
Use Migrate Mate to filter Senior ML Engineer roles at employers who have a history of international sponsorship. That signal narrows your outreach to companies already familiar with hosting J-1 exchange visitors, saving time on cold applications.
Negotiate start dates around DS-2019 processing windows
Your designated sponsor, whether IIE, Cultural Vistas, or another State Department-authorized organization, typically needs four to six weeks to issue the DS-2019 after the host employer signs the training plan. Build that window into your offer negotiation.
Match your program category to your career stage precisely
The Trainee category applies if you graduated within the last 12 months or have under five years of experience. Research Scholar applies to post-doctoral and established researchers. Applying under the wrong category is the most common reason designated sponsors reject otherwise complete applications.
Senior ML Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Senior ML Engineer?
It depends on your career stage. The Trainee category fits candidates who graduated within the past 12 months or have fewer than five years of professional ML experience. Research Scholar applies to those conducting independent research at a university or research institute. Established industry professionals working on applied ML at a corporate lab may qualify under the Specialist category, subject to designated sponsor approval.
Who actually sponsors my J-1 visa if the employer is just the host?
A U.S. Department of State-designated sponsor organization, such as IIE, Cultural Vistas, or AIPT, issues your DS-2019 and holds legal responsibility for your J-1 program. Your hiring company is the host employer, not the visa sponsor. The host signs the training plan and supervises your work, but the designated sponsor monitors compliance and maintains your SEVIS record throughout your program.
Does a two-year home residency requirement affect Senior ML Engineers?
It can. If your J-1 program is funded by your home government or a U.S. government agency, or if your home country appears on the Exchange Visitor Skills List, a two-year home residency requirement applies before you can change to most other U.S. visa categories. ML engineering roles at federally funded research institutions or national labs carry real risk here, so clarify funding sources with your designated sponsor before signing anything.
How do I find host employers open to J-1 exchange visitors?
Many companies that hire internationally for ML roles have never hosted a J-1 exchange visitor specifically, because J-1 differs structurally from H-1B visa and employer-sponsored visas. Migrate Mate surfaces Senior ML Engineer roles at employers with documented international sponsorship history, which is the fastest way to identify hosts already comfortable with the process rather than educating a company from scratch.
What documents does a host employer need to co-sign before my DS-2019 is issued?
The host employer must complete and sign the DS-7002 Training or Internship Placement Plan, which details your ML-specific learning objectives, supervision structure, and program duration. Your designated sponsor reviews this document for compliance before issuing the DS-2019. Vague or generic training plans, ones that read as regular employment rather than structured exchange, are the leading cause of DS-7002 rejections.