J-1 Sponsorship Jobs in Virginia
Virginia's J-1 visa sponsorship spans hospitality, healthcare, research, and education, anchored by major employers in Northern Virginia, Richmond, and the Hampton Roads metro. The state's concentration of universities, federal contractors, and international organizations makes it one of the more active J-1 sponsorship markets on the East Coast.
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Get Access To All JobsINTRODUCTION
The Health, Education, AI, and Learning (HEAL) Division of the Virginia Modeling Analysis and Simulation (VMASC) and the National Center for Collaboration in Medical Modeling and Simulation (NCCMMS) is seeking a highly motivated and creative Postdoctoral Researcher to conduct foundational and applied research in artificial intelligence, deep learning, and advanced neural network architectures. You will join a multidisciplinary team of computer scientists, engineers, human factors experts, instructional designers, and medical education experts to design novel algorithms, build scalable training pipelines, and apply cutting-edge machine learning models to complex, real-world challenges and in pursuit of commercially viable products.
ROLE AND RESPONSIBILITIES
- Algorithm Development: Design, implement, and evaluate novel deep learning architectures, neural surrogate models, or brain-inspired computing algorithms.
- Experimentation & Scaling: Plan rigorous, reproducible training evaluations, ablation studies, and GPU-accelerated experiments across small & large datasets.
- Software Engineering: Develop, test, document, and maintain robust, open-source Python research software using modern version control workflows (e.g., Git).
- Publication & Dissemination: Write and collaborate on high-impact research articles for peer-reviewed journals and present findings at premier international AI/ML conferences (e.g., NeurIPS, ICML, ICLR).
- Collaboration & Mentorship: Collaborate effectively within interdisciplinary/transdisciplinary research groups and assist in mentoring junior graduate or undergraduate researchers.
MINIMUM QUALIFICATIONS
- Education: Ph.D. in Computer Science, Artificial Intelligence, Applied Mathematics, Data Science, Computational Physics, Electrical & Computer Engineering, or a closely related quantitative field (conferred by December 2026 and within the past 5 years).
- Technical Expertise: Demonstrated research experience in human-computer interaction, machine learning, and deep learning. Solid technical foundation in development and evaluation of supervised, unsupervised, and/or reinforcement learning models. Experience with discriminative and generative models.
- Programming Skills: Strong programming proficiency in Python and hands-on experience with modern deep learning frameworks such as TensorFlow, PyTorch, or JAX.
PREFERRED QUALIFICATIONS
- Experience working with multimodal neural network development, including video recordings, audio transcripts, and associated digital human performance scores, is desired.
- Experience with specialized architectures (GPUs, TPUs).
- Background in physics-informed neural networks (PINNs), foundation models, world models, or uncertainty quantification.
- Special experience with high-performance computing (HPC) environments and distributed training workflows.
This position is being filled through the Research Foundation, which is a separate entity from Old Dominion University (ODU). While we work in support of ODU, the Research Foundation operates independently and is a not-for-profit, tax-exempt 501(c)(3) organization.
To apply: click Job Browsing; and follow the link for position #26-058. Review of applications will begin immediately and will continue until the position is filled.
The organization is an equal opportunity and affirmative action employer (AA/EOE/M/F/Disability/VETS/Drug-Free Workplace). We are committed to providing equal employment opportunity to all individuals in accordance with applicable federal, state, and local laws. Employment decisions — including recruitment, hiring, training, compensation, and promotion — are made without regard to race, color, religion, sex, national origin, physical or mental disability, genetic information, age, protected veteran status, or any other protected characteristic. Affirmative action efforts are conducted consistent with applicable laws to promote equal opportunity in employment and advancement.
As part of our commitment to pay transparency and compliance with applicable laws, the Research Foundation includes a good-faith salary range in all job postings. These ranges represent the expected hiring range for the position, not the full compensation band.
Final salary offers may vary depending on factors such as experience, qualifications, skills, internal equity, and budget availability.
Expected Salary Range: $55,000 to $65,000
INTRODUCTION
The Health, Education, AI, and Learning (HEAL) Division of the Virginia Modeling Analysis and Simulation (VMASC) and the National Center for Collaboration in Medical Modeling and Simulation (NCCMMS) is seeking a highly motivated and creative Postdoctoral Researcher to conduct foundational and applied research in artificial intelligence, deep learning, and advanced neural network architectures. You will join a multidisciplinary team of computer scientists, engineers, human factors experts, instructional designers, and medical education experts to design novel algorithms, build scalable training pipelines, and apply cutting-edge machine learning models to complex, real-world challenges and in pursuit of commercially viable products.
ROLE AND RESPONSIBILITIES
- Algorithm Development: Design, implement, and evaluate novel deep learning architectures, neural surrogate models, or brain-inspired computing algorithms.
- Experimentation & Scaling: Plan rigorous, reproducible training evaluations, ablation studies, and GPU-accelerated experiments across small & large datasets.
- Software Engineering: Develop, test, document, and maintain robust, open-source Python research software using modern version control workflows (e.g., Git).
- Publication & Dissemination: Write and collaborate on high-impact research articles for peer-reviewed journals and present findings at premier international AI/ML conferences (e.g., NeurIPS, ICML, ICLR).
- Collaboration & Mentorship: Collaborate effectively within interdisciplinary/transdisciplinary research groups and assist in mentoring junior graduate or undergraduate researchers.
MINIMUM QUALIFICATIONS
- Education: Ph.D. in Computer Science, Artificial Intelligence, Applied Mathematics, Data Science, Computational Physics, Electrical & Computer Engineering, or a closely related quantitative field (conferred by December 2026 and within the past 5 years).
- Technical Expertise: Demonstrated research experience in human-computer interaction, machine learning, and deep learning. Solid technical foundation in development and evaluation of supervised, unsupervised, and/or reinforcement learning models. Experience with discriminative and generative models.
- Programming Skills: Strong programming proficiency in Python and hands-on experience with modern deep learning frameworks such as TensorFlow, PyTorch, or JAX.
PREFERRED QUALIFICATIONS
- Experience working with multimodal neural network development, including video recordings, audio transcripts, and associated digital human performance scores, is desired.
- Experience with specialized architectures (GPUs, TPUs).
- Background in physics-informed neural networks (PINNs), foundation models, world models, or uncertainty quantification.
- Special experience with high-performance computing (HPC) environments and distributed training workflows.
This position is being filled through the Research Foundation, which is a separate entity from Old Dominion University (ODU). While we work in support of ODU, the Research Foundation operates independently and is a not-for-profit, tax-exempt 501(c)(3) organization.
To apply: click Job Browsing; and follow the link for position #26-058. Review of applications will begin immediately and will continue until the position is filled.
The organization is an equal opportunity and affirmative action employer (AA/EOE/M/F/Disability/VETS/Drug-Free Workplace). We are committed to providing equal employment opportunity to all individuals in accordance with applicable federal, state, and local laws. Employment decisions — including recruitment, hiring, training, compensation, and promotion — are made without regard to race, color, religion, sex, national origin, physical or mental disability, genetic information, age, protected veteran status, or any other protected characteristic. Affirmative action efforts are conducted consistent with applicable laws to promote equal opportunity in employment and advancement.
As part of our commitment to pay transparency and compliance with applicable laws, the Research Foundation includes a good-faith salary range in all job postings. These ranges represent the expected hiring range for the position, not the full compensation band.
Final salary offers may vary depending on factors such as experience, qualifications, skills, internal equity, and budget availability.
Expected Salary Range: $55,000 to $65,000
Search J-1 Jobs by Industry in Virginia
Tips for Finding J-1 Sponsorship Jobs in Virginia
Target Northern Virginia's international organization cluster
Northern Virginia hosts a dense network of nonprofits, think tanks, and international organizations near Washington, D.C. that routinely sponsor J-1 exchange visitors for research and trainee programs. These employers are worth prioritizing early in your search.
Look into Virginia's university research programs
Schools like the University of Virginia, George Mason University, and Virginia Tech sponsor J-1 researchers and interns through their international offices. Contact the international student office directly, since many research J-1 positions are filled before they reach public job boards.
Explore hospitality roles in resort and coastal markets
Virginia Beach, Williamsburg, and Shenandoah Valley resorts actively use J-1 Summer Work Travel and intern programs. Hospitality employers here often have established relationships with J-1 sponsors, making them more receptive to exchange visitor applicants than employers in other sectors.
Use Migrate Mate to filter by J-1 sponsorship
When searching for Virginia roles, Migrate Mate lets you filter specifically for employers that sponsor J-1 visas, saving time you'd otherwise spend researching each company's immigration history individually before applying.
Align your program category with your target role
J-1 has distinct program categories including intern, trainee, research scholar, and physician. Virginia employers sponsor different categories depending on the industry, so confirming your category matches the role before applying avoids wasted effort and delays.
Engage Virginia-based designated sponsor organizations early
Designated Sponsor Organizations handle J-1 program administration and often maintain relationships with Virginia employers seeking exchange visitors. Reaching out to sponsors directly, before a specific job opens, can surface opportunities that are never publicly listed.
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Get Access To All JobsJ-1 Jobs in Virginia: Frequently Asked Questions
Which industries in Virginia sponsor the most J-1 visas?
Hospitality, higher education, healthcare, and technology research sponsor the most J-1 visas in Virginia. The hospitality sector, particularly in Virginia Beach and Williamsburg, relies heavily on Summer Work Travel and intern categories. Universities and research institutions across Charlottesville, Fairfax, and Blacksburg are consistent J-1 sponsors in the research scholar and intern categories.
Which cities in Virginia have the most J-1 sponsorship jobs?
Northern Virginia, particularly the Arlington and Fairfax corridor near Washington, D.C., has the highest concentration of J-1 sponsoring employers due to its density of federal contractors, nonprofits, and international organizations. Richmond and Charlottesville are active for healthcare and university-affiliated roles, while Virginia Beach and Williamsburg are the strongest markets for hospitality-focused J-1 positions.
What types of roles typically qualify for J-1 sponsorship in Virginia?
J-1 sponsorship in Virginia most commonly covers research and laboratory roles at universities and hospitals, intern and trainee positions in technology and business services, and hospitality and tourism roles at resorts and hotels. Roles must align with one of the State Department's designated J-1 program categories and be with an employer working through a recognized Designated Sponsor Organization.
How do I find J-1 sponsorship jobs in Virginia?
Migrate Mate is the most direct way to find Virginia employers that sponsor J-1 visas, since you can filter by visa type and state rather than researching each employer's sponsorship history manually. Beyond that, the international offices at Virginia universities maintain lists of approved J-1 host organizations, and Designated Sponsor Organizations often post or refer open positions to qualified exchange visitors.
Are there any Virginia-specific considerations for J-1 sponsorship I should know about?
Virginia's proximity to Washington, D.C. means many J-1 positions in Northern Virginia are with organizations that also navigate federal contracting rules, which can affect how quickly hiring decisions move. Additionally, Virginia requires J-1 participants to maintain valid health insurance meeting State Department minimums throughout their program, and some Virginia university host programs have specific departmental approval steps beyond the standard DS-2019 process.