J-1 Visa AI Solutions Engineer Jobs
AI Solutions Engineer roles in the U.S. are accessible to international professionals through J-1 visa sponsorship, typically under the Trainee or Research Scholar category depending on your career stage. A State Department-designated sponsor organization issues your DS-2019, while the tech company or research lab serves as your host employer.
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Get Access To All JobsINTRODUCTION
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.
ABOUT THE JOB
The Lau Lab in the Department of Biostatistics and Bioinformatics at Emory University is seeking a highly motivated postdoctoral fellow to conduct research at the intersection of statistical modeling, artificial intelligence, machine learning, and infectious disease epidemiology.
The fellow will develop and apply novel statistical, mathematical, computational, and machine learning methods, with particular emphasis on deep learning and modern AI approaches, to improve our understanding, inference, and prediction of infectious disease dynamics. Potential research areas include epidemic forecasting, deep learning–based simulation-based inference, generative and foundation models for epidemiology, phylodynamics, and integration of heterogeneous surveillance data.
Projects are strongly grounded in real-world public health applications, including pandemic preparedness, outbreak forecasting, infectious disease surveillance, and data-driven public health decision-making. The fellow will have substantial opportunities to develop independent research directions and lead high-impact methodological and applied publications.
Position Details
- Start date: Spring-Summer 2027 preferred; timing is flexible for an exceptional candidate
- Initial term: 1 year, with the expectation of renewal based on performance, mutual fit, and funding
- Location: Emory University, Atlanta, Georgia
JOB DESCRIPTION
Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career. The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Designs and evaluates experiments. Develops new ideas that promote current research. Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. May be responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Appointments cannot exceed five years.
MINIMUM QUALIFICATIONS
A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator.
PREFERRED QUALIFICATIONS
- PhD in statistics, biostatistics, computer science, applied mathematics, physics, artificial intelligence, or another closely related quantitative field
- Strong interest in applying quantitative and computational methods to infectious disease epidemiology
- Strong background in statistical/mathematical modeling, machine learning, or computational methods
- Experience with deep learning, probabilistic modeling, scientific machine learning, or related modern AI methods is particularly desirable
- Strong interest in interdisciplinary research
- Proficiency in Python and R; experience with additional scientific computing frameworks is desirable
- Strong research record and evidence of growing independence
- Strong written and verbal communication skills
Candidates are not expected to have prior experience in every area listed above. Applicants with particularly strong methodological or computational backgrounds who are genuinely interested in applying their expertise to infectious disease problems are encouraged to apply.
Research Environment
The Lau Lab provides a highly collaborative and interdisciplinary research environment spanning biostatistics, epidemiology, computer science, and infectious disease dynamics. The fellow will work closely with Dr. Max Lau and will have opportunities to collaborate with leading researchers at Emory from Computer Science, Epidemiology and Biology. Postdoctoral fellows will receive strong support for professional development, including conference travel, interdisciplinary collaborations, development of independent research programs, and publication in leading methodological and scientific journals.
Application Instructions
Interested applicants should apply through the Emory portal.
Please include:
- Curriculum vitae (CV)
- Statement of research interests
- Contact information for two references. Reference letters will be requested from candidates selected for interview.
Questions may be directed to Dr. Max Lau at msy.lau@emory.edu.
Review of applications will begin immediately and continue until the position is filled.
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.
INTRODUCTION
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.
ABOUT THE JOB
The Lau Lab in the Department of Biostatistics and Bioinformatics at Emory University is seeking a highly motivated postdoctoral fellow to conduct research at the intersection of statistical modeling, artificial intelligence, machine learning, and infectious disease epidemiology.
The fellow will develop and apply novel statistical, mathematical, computational, and machine learning methods, with particular emphasis on deep learning and modern AI approaches, to improve our understanding, inference, and prediction of infectious disease dynamics. Potential research areas include epidemic forecasting, deep learning–based simulation-based inference, generative and foundation models for epidemiology, phylodynamics, and integration of heterogeneous surveillance data.
Projects are strongly grounded in real-world public health applications, including pandemic preparedness, outbreak forecasting, infectious disease surveillance, and data-driven public health decision-making. The fellow will have substantial opportunities to develop independent research directions and lead high-impact methodological and applied publications.
Position Details
- Start date: Spring-Summer 2027 preferred; timing is flexible for an exceptional candidate
- Initial term: 1 year, with the expectation of renewal based on performance, mutual fit, and funding
- Location: Emory University, Atlanta, Georgia
JOB DESCRIPTION
Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career. The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Designs and evaluates experiments. Develops new ideas that promote current research. Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. May be responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Appointments cannot exceed five years.
MINIMUM QUALIFICATIONS
A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator.
PREFERRED QUALIFICATIONS
- PhD in statistics, biostatistics, computer science, applied mathematics, physics, artificial intelligence, or another closely related quantitative field
- Strong interest in applying quantitative and computational methods to infectious disease epidemiology
- Strong background in statistical/mathematical modeling, machine learning, or computational methods
- Experience with deep learning, probabilistic modeling, scientific machine learning, or related modern AI methods is particularly desirable
- Strong interest in interdisciplinary research
- Proficiency in Python and R; experience with additional scientific computing frameworks is desirable
- Strong research record and evidence of growing independence
- Strong written and verbal communication skills
Candidates are not expected to have prior experience in every area listed above. Applicants with particularly strong methodological or computational backgrounds who are genuinely interested in applying their expertise to infectious disease problems are encouraged to apply.
Research Environment
The Lau Lab provides a highly collaborative and interdisciplinary research environment spanning biostatistics, epidemiology, computer science, and infectious disease dynamics. The fellow will work closely with Dr. Max Lau and will have opportunities to collaborate with leading researchers at Emory from Computer Science, Epidemiology and Biology. Postdoctoral fellows will receive strong support for professional development, including conference travel, interdisciplinary collaborations, development of independent research programs, and publication in leading methodological and scientific journals.
Application Instructions
Interested applicants should apply through the Emory portal.
Please include:
- Curriculum vitae (CV)
- Statement of research interests
- Contact information for two references. Reference letters will be requested from candidates selected for interview.
Questions may be directed to Dr. Max Lau at msy.lau@emory.edu.
Review of applications will begin immediately and continue until the position is filled.
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.
See all J-1 Visa AI Solutions Engineer Jobs
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an AI Solutions Engineer
Align your credentials to specialty occupation standards
J-1 visa Trainee and Research Scholar categories require documented proof that your AI engineering background directly matches the host role. Gather transcripts, publication records, and project portfolios that map your expertise to specific machine learning or systems architecture responsibilities.
Verify host employers through DOL disclosure data
Search OFLC Wage Search to identify U.S. tech employers that have filed Labor Condition Applications for AI or software engineering roles. Employers with active LCA history are operationally familiar with exchange visitor compliance obligations, which speeds your onboarding process.
Search for J-1 compatible roles on Migrate Mate
Use Migrate Mate to filter U.S. employer listings by roles that align with J-1 sponsorship pathways for AI professionals. The platform surfaces host employers actively seeking international talent, narrowing your search beyond generalist job boards that rarely flag exchange visitor compatibility.
Secure a training plan before the DS-2019 is issued
Your designated sponsor organization requires a completed Training or Internship Placement Plan (Form DS-7002) before issuing your DS-2019. Work with your host employer to specify AI project milestones, supervision structure, and measurable learning objectives tied to your engineering role.
Clarify the two-year home residency requirement early
Research Scholar and some Trainee participants funded by their home government or involved in fields on the Exchange Visitor Skills List may be subject to a two-year home residency requirement. Confirm your status before accepting an offer, as it affects H-1B visa and green card eligibility afterward.
Negotiate AI project scope to satisfy training requirements
J-1 Trainee status requires that your role provides substantive skills development, not just production output. During offer negotiation, define deliverables that include model development, architecture design, or research tasks so your host employer's description satisfies designated sponsor review.
AI Solutions Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an AI Solutions Engineer role?
It depends on your career stage. Current students or recent graduates in AI or computer science typically qualify under the Intern category for structured learning experiences. Professionals with at least one year of post-degree work experience in AI engineering are better placed under the Trainee category. Doctoral-level researchers focused on applied machine learning may qualify as Research Scholars, particularly through university or institute host placements.
Who actually sponsors the J-1 visa for a tech role, the employer or a sponsor organization?
The J-1 visa sponsor is always a U.S. Department of State-designated organization, not the hiring company. Organizations like IIE, Cultural Vistas, or CIEE issue the DS-2019 form and take legal responsibility for program compliance. The tech company or research lab hosting you is the host employer, not the visa sponsor. These are two distinct parties with different roles in the exchange visitor process.
How do I find U.S. employers open to hosting J-1 AI engineers?
Migrate Mate is built for exactly this search. It surfaces U.S. employer roles compatible with international sponsorship pathways, including J-1 host placements for AI and engineering professionals. Because most generalist job boards don't flag exchange visitor compatibility, using a platform that filters by visa-aligned roles saves significant time during your outreach phase.
Can I use O*NET to support my J-1 Trainee application for an AI Solutions Engineer role?
Yes. O*NET provides standardized occupation descriptions that designated sponsor organizations and host employers reference when evaluating whether a role qualifies for J-1 Trainee placement. The AI Solutions Engineer profile on O*NET details the knowledge areas, tasks, and technology skills associated with the occupation. Including O*NET occupation codes in your training plan documentation strengthens the case that your role delivers genuine skills development rather than routine production work.
Does the two-year home residency requirement affect AI engineers on J-1 visas?
It can. The two-year home residency requirement applies if your J-1 exchange program was funded by your home government, if your home country lists AI or computer engineering on the Exchange Visitor Skills List, or if you're a graduate medical trainee. If it applies, you must return home for two years before changing to H-1B or applying for a green card, unless you obtain a waiver. Confirm your status with your designated sponsor before signing any offer.