J-1 Visa Machine Learning Engineer Jobs
Machine Learning Engineer roles in the United States are typically sponsored under the J-1 visa Research Scholar or Trainee program category, depending on your career stage. Securing sponsorship means a U.S. Department of State-designated organization issues your DS-2019, while your host employer provides the technical training environment.
Find J-1 Visa Machine Learning Engineer JobsOverview
Showing 5 of 20+ Machine Learning Engineer jobs
See all Machine Learning Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer roles.
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
See all J-1 Visa Machine Learning Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa Machine Learning Engineer Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a Machine Learning Engineer
Align your credentials to specialty occupation standards
J-1 Training Plans require your degree field to map directly to the ML engineering work you'll perform. Document coursework in statistics, neural networks, or distributed systems before approaching host employers, since designated sponsors vet this match during DS-2019 review.
Distinguish Research Scholar from Trainee eligibility early
If you hold a postgraduate degree and have an established research record, the Research Scholar category fits better than Trainee. Trainee is capped at 18 months total, which limits ML project timelines that typically run longer.
Target host employers with existing J-1 infrastructure
Use Migrate Mate to find U.S. employers already hosting J-1 exchange visitors in engineering roles. These organizations have signed host agreements with designated sponsors and understand the Training Plan documentation you'll need to complete.
Build a project portfolio that maps to O*NET task definitions
Designated sponsors use O*NET occupation profiles to validate that your ML training objectives match recognized U.S. job duties. Structure your portfolio around model development, data pipeline engineering, and evaluation metrics so your Training Plan reflects documented occupational tasks.
Clarify the two-year home residency requirement before accepting an offer
Research Scholar and Specialist J-1 holders from certain countries, or in government-funded fields, face a two-year home-country return requirement before changing status. Confirm your eligibility for a 212(e) waiver with your designated sponsor before signing an employment offer.
Negotiate the Training Plan scope during offer discussions
The J-1 Training Plan is a legal document your host employer and designated sponsor both sign. Before your start date, confirm that the plan specifies ML-specific rotations, tools, and measurable outcomes, since vague objectives delay DS-2019 issuance and can limit program extensions.
Machine Learning Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Machine Learning Engineer role?
It depends on your career stage. Current graduate students pursuing ML research typically qualify under the Research Scholar or Short-Term Scholar category. Early-career professionals who have graduated within the past 12 months and want structured industry training use the Trainee category, which runs up to 18 months. Postdoctoral researchers at universities or national labs usually qualify as Research Scholars through a university-affiliated designated sponsor.
Who actually sponsors the J-1 visa for an ML engineering position?
Your visa sponsor is a U.S. Department of State-designated organization, not your employer. Organizations like IIE, Cultural Vistas, or CIEE issue the DS-2019 form and administer program compliance. Your employer is the host organization that provides the technical training environment and signs the Training Plan. Conflating the two is the most common source of confusion when negotiating job offers.
How do I find U.S. employers that are set up to host J-1 engineers?
Many employers have hosted J-1 exchange visitors before but don't advertise it in job listings. Migrate Mate surfaces roles and employers specifically aligned with J-1 sponsorship pathways, so you can focus your applications on organizations that already have host agreements in place rather than pitching unfamiliar employers on the program from scratch.
Does the two-year home residency requirement apply to ML engineers?
It can. The 212(e) two-year home-country return requirement applies to J-1 holders whose participation was funded by their home government or the U.S. government, or who are nationals of a country designated by the State Department as needing their skills. ML engineers on Research Scholar visas funded by U.S. federal research grants are particularly likely to be subject to this requirement. Confirm your status with your designated sponsor before accepting any offer that leads toward an H-1B visa or green card.
What does a J-1 Training Plan need to include for an ML engineering role?
The Training Plan must specify the ML-related tasks you'll perform in the U.S., the tools and technologies involved, measurable performance benchmarks, and the name of your on-site supervisor. Designated sponsors use this document to verify that the program qualifies as genuine training rather than standard employment. Vague plans that list only general software engineering duties are routinely rejected, delaying DS-2019 issuance.