J-1 Visa AI Product Engineer Jobs
AI Product Engineer roles in the U.S. are accessible to international professionals through J-1 visa sponsorship under the Trainee or Research Scholar program category, depending on your career stage. A State Department-designated sponsor organization issues your DS-2019, while the U.S. tech company serves as your host employer.
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The Food is Medicine Institute at the Friedman School of Nutrition Science and Policy at Tufts University (the Institute) seeks an outstanding postdoctoral fellow to work on an original nutrient profiling system, Food Compass, under the mentorship and guidance of Institute Director Dr. Dariush Mozaffarian.
Bringing together research, training, patient services, policy development, and community engagement, the Institute aims to serve as a catalyst to drive change, improve health, reduce health disparities, and create a more equitable and resilient healthcare system that recognizes the power of nourishing food. Its efforts are centered in health equity to work collaboratively with and improve the lives of traditionally marginalized, vulnerable populations. The Institute also hosts and builds networks with partnerships with stakeholders within and beyond healthcare to ensure that efforts advance well-being and policy broadly and reach the people who need them most.
WHAT YOU'LL DO:
This is a full-time (12 months per year) position with an anticipated duration of 2-3 years, subject to annual review and renewal based on performance and available funding. The position is based in Boston, MA, and requires regular in-person work. Flexible and hybrid arrangements (e.g., 1–2 days per week remote) may be considered; fully remote work is not available. Applicants must be authorized to work in the United States. The start date is negotiable. This position offers a competitive salary, excellent benefits, and opportunities for professional development, travel, and collaboration with leading researchers and partners.
The successful candidate will meaningfully contribute to advancing the development, expansion, and application of Food Compass across various partnerships. This may include research and activities related to:
- Updating and expanding the Food Compass algorithm according to the latest science, including expansion to include novel health-related bioactive attributes;
- Supporting ongoing work and manuscripts, including related data manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization;
- Leading analyses describing dietary intake in the United States and internationally using Food Compass and existing dietary data from major data sources, including the National Health and Nutrition Examination Survey (NHANES), the USDA Branded Foods Database, UK Biobank, and others;
- Collaborating with food retailers, healthcare systems, international health-focused government agencies, nutrition-focused venture capital firms and coalitions, and other organizations to advance the role of NPS in consumer education and the creation of a healthier and more equitable food environment;
- Disseminating research findings to relevant stakeholders, including the scientific community, food system leaders, legislative bodies, and advocacy groups and agencies.
The fellow will work within a close-knit, collegial multi-disciplinary team of other trainees, students, and staff within the Institute. In addition to mentoring from Dr. Dariush Mozaffarian, the fellow will interact with and gain knowledge and experience from a range of other expert faculty across the Institute and beyond. The fellow will also benefit from meetings, seminars, and coalitions of multi-sector leaders in Food is Medicine including healthcare, community-based, retail, policy, and advocacy organizations. The training program will emphasize the design and publication of original analyses and manuscripts as first author, career development, and transition toward an independent research career.
BASIC QUALIFICATIONS:
Candidates must possess a relevant medical or doctoral degree (MD, PhD, DrPH, ScD) in quantitative sciences (biostatistics, artificial intelligence, epidemiology, etc.), health sciences (e.g., medicine, nutrition, public health, etc.), or related professions (e.g., economics, public policy, business, law, etc.). Strong quantitative and data skills are a must. Ideal candidates will have demonstrated experience applying AI and machine learning tools to manage, clean, and code complex nutrient content and food product datasets. Experience with data visualizations, front of pack labeling, and nutrition policy would also be an asset.
Individuals who work well across disciplines, are collegial and collaborative, and have interest in the intersections of nutrition, information systems, health, medicine, and equity will particularly thrive in this role. Candidates must have a track record of successful interdisciplinary research as evidenced by multiple original, peer-reviewed research publications in a relevant field. We seek candidates whose work is relevant to diverse stakeholders in public and health sectors.
WHAT WE'RE LOOKING FOR:
Required education, experience and skills
Applicants must have an MD or doctoral degree (PhD, DrPH, ScD); additional training in biostatistics, coding, AI, epidemiology, nutrition, public health, economics, or related fields; and a record of original, first-author research publications in relevant areas. Candidates must have excellent quantitative/analytical research skills, strong written and oral communication skills, experience using analytic programs for data management and analysis (e.g., STATA, SPSS, SAS, R), and familiarity with AI tools for data processing, nutrient coding, and analysis of large food and dietary datasets, and the ability to work well independently and as part of a team with collaborators.
APPLICATION INSTRUCTIONS
A complete application will include; cover letter, CV, and names of three references (if available, reference letters welcomed). Applications should be submitted via Interfolio. Questions can be directed to Julia Sharib (julia.reedy@tufts.edu). Applications will be considered as they are received.
SALARY RANGE:
Minimum $67,500.00, Midpoint $72,875.00, Maximum $78,250.00
Overview:
The Food is Medicine Institute at the Friedman School of Nutrition Science and Policy at Tufts University (the Institute) seeks an outstanding postdoctoral fellow to work on an original nutrient profiling system, Food Compass, under the mentorship and guidance of Institute Director Dr. Dariush Mozaffarian.
Bringing together research, training, patient services, policy development, and community engagement, the Institute aims to serve as a catalyst to drive change, improve health, reduce health disparities, and create a more equitable and resilient healthcare system that recognizes the power of nourishing food. Its efforts are centered in health equity to work collaboratively with and improve the lives of traditionally marginalized, vulnerable populations. The Institute also hosts and builds networks with partnerships with stakeholders within and beyond healthcare to ensure that efforts advance well-being and policy broadly and reach the people who need them most.
WHAT YOU'LL DO:
This is a full-time (12 months per year) position with an anticipated duration of 2-3 years, subject to annual review and renewal based on performance and available funding. The position is based in Boston, MA, and requires regular in-person work. Flexible and hybrid arrangements (e.g., 1–2 days per week remote) may be considered; fully remote work is not available. Applicants must be authorized to work in the United States. The start date is negotiable. This position offers a competitive salary, excellent benefits, and opportunities for professional development, travel, and collaboration with leading researchers and partners.
The successful candidate will meaningfully contribute to advancing the development, expansion, and application of Food Compass across various partnerships. This may include research and activities related to:
- Updating and expanding the Food Compass algorithm according to the latest science, including expansion to include novel health-related bioactive attributes;
- Supporting ongoing work and manuscripts, including related data manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization;
- Leading analyses describing dietary intake in the United States and internationally using Food Compass and existing dietary data from major data sources, including the National Health and Nutrition Examination Survey (NHANES), the USDA Branded Foods Database, UK Biobank, and others;
- Collaborating with food retailers, healthcare systems, international health-focused government agencies, nutrition-focused venture capital firms and coalitions, and other organizations to advance the role of NPS in consumer education and the creation of a healthier and more equitable food environment;
- Disseminating research findings to relevant stakeholders, including the scientific community, food system leaders, legislative bodies, and advocacy groups and agencies.
The fellow will work within a close-knit, collegial multi-disciplinary team of other trainees, students, and staff within the Institute. In addition to mentoring from Dr. Dariush Mozaffarian, the fellow will interact with and gain knowledge and experience from a range of other expert faculty across the Institute and beyond. The fellow will also benefit from meetings, seminars, and coalitions of multi-sector leaders in Food is Medicine including healthcare, community-based, retail, policy, and advocacy organizations. The training program will emphasize the design and publication of original analyses and manuscripts as first author, career development, and transition toward an independent research career.
BASIC QUALIFICATIONS:
Candidates must possess a relevant medical or doctoral degree (MD, PhD, DrPH, ScD) in quantitative sciences (biostatistics, artificial intelligence, epidemiology, etc.), health sciences (e.g., medicine, nutrition, public health, etc.), or related professions (e.g., economics, public policy, business, law, etc.). Strong quantitative and data skills are a must. Ideal candidates will have demonstrated experience applying AI and machine learning tools to manage, clean, and code complex nutrient content and food product datasets. Experience with data visualizations, front of pack labeling, and nutrition policy would also be an asset.
Individuals who work well across disciplines, are collegial and collaborative, and have interest in the intersections of nutrition, information systems, health, medicine, and equity will particularly thrive in this role. Candidates must have a track record of successful interdisciplinary research as evidenced by multiple original, peer-reviewed research publications in a relevant field. We seek candidates whose work is relevant to diverse stakeholders in public and health sectors.
WHAT WE'RE LOOKING FOR:
Required education, experience and skills
Applicants must have an MD or doctoral degree (PhD, DrPH, ScD); additional training in biostatistics, coding, AI, epidemiology, nutrition, public health, economics, or related fields; and a record of original, first-author research publications in relevant areas. Candidates must have excellent quantitative/analytical research skills, strong written and oral communication skills, experience using analytic programs for data management and analysis (e.g., STATA, SPSS, SAS, R), and familiarity with AI tools for data processing, nutrient coding, and analysis of large food and dietary datasets, and the ability to work well independently and as part of a team with collaborators.
APPLICATION INSTRUCTIONS
A complete application will include; cover letter, CV, and names of three references (if available, reference letters welcomed). Applications should be submitted via Interfolio. Questions can be directed to Julia Sharib (julia.reedy@tufts.edu). Applications will be considered as they are received.
SALARY RANGE:
Minimum $67,500.00, Midpoint $72,875.00, Maximum $78,250.00
See all J-1 Visa AI Product Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa AI Product Engineer Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an AI Product Engineer
Align your training plan to AI engineering tasks
Your DS-2019 requires a detailed training plan tied to specific competencies. Map your learning objectives to concrete AI product tasks like model evaluation, MLOps pipeline work, or LLM fine-tuning so your designated sponsor can justify the placement.
Verify your J-1 category before applying
If you hold a degree and have fewer than five years of post-graduation work experience in AI product development, the Trainee category applies. Research Scholar fits doctoral-level researchers embedded in a university or lab environment. Applying under the wrong category delays your DS-2019.
Search Migrate Mate for host employers open to J-1 placements
Many AI product roles are posted without explicit visa language. Use Migrate Mate to filter for U.S. employers actively hosting international professionals, so you target companies already familiar with the host-employer obligations the J-1 visa program requires.
Confirm the host employer accepts J-1 trainees
Before submitting applications, ask hiring teams whether their legal or HR department has previously hosted J-1 participants. Companies that have never acted as a host organization often underestimate the compliance steps, which can stall or cancel an otherwise approved offer.
Check your home country's two-year residency requirement early
Nationals from certain countries, and participants whose training was government-funded, must return home for two years after their J-1 period ends before changing to an H-1B visa or green card. Confirm your status with your designated sponsor before accepting an offer, not after.
Prepare a portfolio demonstrating end-to-end product thinking
J-1 Trainee placements in AI product engineering are scrutinized for genuine knowledge transfer. Host employers and designated sponsors both look for applicants who can show shipped features, model deployment experience, or product iteration cycles, not research papers alone.
AI Product Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an AI Product Engineer role?
Most AI Product Engineer placements fall under the Trainee category, which covers professionals who have graduated within the past five years and are seeking structured training with a U.S. host employer. If your role is embedded in a university research lab or national research institute, the Research Scholar category may apply instead. Your designated sponsor, not the hiring company, determines which category fits your profile and issues the DS-2019 accordingly.
Who actually sponsors my J-1 visa if an AI company hires me?
The hiring AI company is your host employer, not your visa sponsor. Your J-1 sponsor is a U.S. Department of State-designated organization such as Cultural Vistas, CIEE, or AIPT. That organization reviews your training plan, issues the DS-2019 form, and monitors your compliance throughout the program. The host employer signs the training plan and provides the placement, but they cannot issue a DS-2019 themselves unless they hold their own State Department designation.
How do I find AI product roles where the employer already understands J-1 hosting?
Search on Migrate Mate, which surfaces U.S. employers familiar with international hiring including J-1 host arrangements. Many AI product job postings omit visa details entirely, so targeting companies with established international talent programs saves time. When you reach the offer stage, confirm the employer has previously signed a training plan with a designated sponsor, since first-time host employers often need months to complete the compliance steps before your DS-2019 can be issued.
Does the two-year home residency requirement affect AI engineers specifically?
It can, and it is worth understanding before you accept an offer. The two-year home residency requirement applies if your J-1 training is government-financed, your home country has designated your field as a skills-shortage area, or you participate in certain exchange programs funded by the U.S. or your home government. AI engineering is not universally designated, but some countries list technology disciplines on their skills-shortage schedules. Your designated sponsor can confirm whether your specific situation triggers the requirement based on your nationality and funding source.
Can I transition from a J-1 to an H-1B after my AI product training ends?
Yes, if you are not subject to the two-year home residency requirement or have obtained a waiver. J-1 Trainees who complete their program and are not subject to that requirement can have an employer petition for an H-1B on their behalf, which enters the annual lottery. If the requirement does apply, you would need either a waiver approved by the State Department or to fulfill the two-year return before a change of status to H-1B becomes available. Plan this transition timeline with your designated sponsor well before your DS-2019 expires.