J-1 Visa AI ML Intern Jobs
AI ML Intern positions in the U.S. typically fall under the J-1 visa Intern category, designed for degree-seeking students or recent graduates pursuing structured training in a field matching their coursework. A State Department-designated sponsor organization issues your DS-2019 and provides sponsorship, while your host employer runs the day-to-day internship program.
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Get Access To All JobsJob Posting Title:
Postdoctoral Fellow in Water Systems (ml)
Hiring Department:
Bureau of Economic Geology
Position Open To:
All Applicants
Weekly Scheduled Hours:
40
FLSA Status:
Exempt
Earliest Start Date:
Immediately
Position Duration:
Expected to Continue Until Aug 03, 2026
Location:
PICKLE RESEARCH CAMPUS
Job Details:
General Notes
A researcher with a strong background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group.
Purpose
We are seeking highly motivated candidates for postdoctoral fellow positions within the Bureau’s hydrology research group. These fellows will be key members of an expanding research program focused on assessing Texas water resources and systems in service to our mission as the state geological survey. The current research program objectives are: (a) synthesize a full suite of Texas water resource and system data into a common spatiotemporal framework, (b) develop a web-based product to deliver accessible and actionable water resource and system information to stakeholders, (c) assess the historical impact of drought and flood on water resources and systems, and (d) evaluate drought and flood risk and resilience. This research program is anticipated to yield significant insights for Texas water resource management and planning processes as well as to provide a strong foundation for further research projects. Each position term is subject to performance as well as research program needs and funding. Multiple postdoctoral fellow positions are initially available, and candidates are strongly encouraged to review Preferred Qualifications to determine which position is best aligned with their skills and experience.
Responsibilities
-
Perform research in the hydrology field, including analysis and interpretation of large datasets using various analytical, statistical, and numerical techniques.
-
Contribute to the publication of scientific papers and presentation of findings to scholarly meetings and stakeholders.
-
Collaborate and coordinate with research program team members and participate in program development through proposals and other fundraising.
-
In addition to other duties as assigned, provide support and service as needed to supervisor, the Bureau, and the Jackson School.
Required Qualifications
Ph.D. acquired within the last three years in Earth Science (e.g. Hydrology, Hydrogeology, Geology, Geography), Civil Engineering, or closely related field. Demonstrated experience and aptitude in a hydrology context with: (a) data analytics, wrangling, management, and synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development. Demonstrated ability to meet deadlines and effectively disseminate research project results to professional peers. Excellent written and oral communication skills. Professional demeanor and strong interpersonal skills.
Degree must have been obtained within 3 years from date of hire.
Preferred Qualifications
Aptitude and experience with: (a) predictive machine and deep learning techniques, (b) statistical analysis, (c) hands-on experience using models such as convolutional neural networks (CNNs), generative AI methods such as diffusion models, and interpretability techniques commonly applied in hydrology including SHAP or LIME for explaining outputs of forecasting models, (d) experience in using high performance computing systems with multiple nodes and GPUs and (e) drought metrics. Familiarity with Texas water resources and management practices. Experience working within an integrated team of scientists, engineers, and economists in a dynamic environment.
Salary Range
$65,000+ depending on qualifications.
Working Conditions
-
May work in all weather conditions
-
May work in extreme temperatures
-
May work around standard office conditions
-
Repetitive use of a keyboard at a workstation
-
Occasional weekend, overtime, and evening work to meet deadlines
-
Fieldwork as necessary
Required Materials
-
Resume/CV
-
3 work references with their contact information
-
Letter of interest
Employment Eligibility:
Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation.
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
E-Verify:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
- E-Verify Poster (English and Spanish) [PDF]
- Right to Work Poster (English) [PDF]
- Right to Work Poster (Spanish) [PDF]
Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.
Job Posting Title:
Postdoctoral Fellow in Water Systems (ml)
Hiring Department:
Bureau of Economic Geology
Position Open To:
All Applicants
Weekly Scheduled Hours:
40
FLSA Status:
Exempt
Earliest Start Date:
Immediately
Position Duration:
Expected to Continue Until Aug 03, 2026
Location:
PICKLE RESEARCH CAMPUS
Job Details:
General Notes
A researcher with a strong background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group.
Purpose
We are seeking highly motivated candidates for postdoctoral fellow positions within the Bureau’s hydrology research group. These fellows will be key members of an expanding research program focused on assessing Texas water resources and systems in service to our mission as the state geological survey. The current research program objectives are: (a) synthesize a full suite of Texas water resource and system data into a common spatiotemporal framework, (b) develop a web-based product to deliver accessible and actionable water resource and system information to stakeholders, (c) assess the historical impact of drought and flood on water resources and systems, and (d) evaluate drought and flood risk and resilience. This research program is anticipated to yield significant insights for Texas water resource management and planning processes as well as to provide a strong foundation for further research projects. Each position term is subject to performance as well as research program needs and funding. Multiple postdoctoral fellow positions are initially available, and candidates are strongly encouraged to review Preferred Qualifications to determine which position is best aligned with their skills and experience.
Responsibilities
-
Perform research in the hydrology field, including analysis and interpretation of large datasets using various analytical, statistical, and numerical techniques.
-
Contribute to the publication of scientific papers and presentation of findings to scholarly meetings and stakeholders.
-
Collaborate and coordinate with research program team members and participate in program development through proposals and other fundraising.
-
In addition to other duties as assigned, provide support and service as needed to supervisor, the Bureau, and the Jackson School.
Required Qualifications
Ph.D. acquired within the last three years in Earth Science (e.g. Hydrology, Hydrogeology, Geology, Geography), Civil Engineering, or closely related field. Demonstrated experience and aptitude in a hydrology context with: (a) data analytics, wrangling, management, and synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development. Demonstrated ability to meet deadlines and effectively disseminate research project results to professional peers. Excellent written and oral communication skills. Professional demeanor and strong interpersonal skills.
Degree must have been obtained within 3 years from date of hire.
Preferred Qualifications
Aptitude and experience with: (a) predictive machine and deep learning techniques, (b) statistical analysis, (c) hands-on experience using models such as convolutional neural networks (CNNs), generative AI methods such as diffusion models, and interpretability techniques commonly applied in hydrology including SHAP or LIME for explaining outputs of forecasting models, (d) experience in using high performance computing systems with multiple nodes and GPUs and (e) drought metrics. Familiarity with Texas water resources and management practices. Experience working within an integrated team of scientists, engineers, and economists in a dynamic environment.
Salary Range
$65,000+ depending on qualifications.
Working Conditions
-
May work in all weather conditions
-
May work in extreme temperatures
-
May work around standard office conditions
-
Repetitive use of a keyboard at a workstation
-
Occasional weekend, overtime, and evening work to meet deadlines
-
Fieldwork as necessary
Required Materials
-
Resume/CV
-
3 work references with their contact information
-
Letter of interest
Employment Eligibility:
Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation.
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
E-Verify:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
- E-Verify Poster (English and Spanish) [PDF]
- Right to Work Poster (English) [PDF]
- Right to Work Poster (Spanish) [PDF]
Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.
See all J-1 Visa AI ML Intern Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa AI ML Intern Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an AI ML Intern
Align your transcript to your training plan
Your DS-2019 training plan must show a direct connection between your current coursework, such as machine learning or data engineering courses, and the internship tasks. Mismatches between your declared major and the role are a common reason designated sponsors reject applications.
Verify your O*NET classification before applying
Look up the AI ML Intern role on O*NET and confirm the Standard Occupational Classification code. Designated sponsors use this code to validate your training plan, and a wrong code can stall DS-2019 issuance even after a host employer signs off.
Target host employers with existing sponsor relationships
Some U.S. tech companies already have working relationships with designated sponsors like Cultural Vistas or CIEE, which shortens the DS-2019 timeline. Use Migrate Mate to find AI and machine learning roles at employers that have J-1 hosting history.
Confirm the 2-year home residency requirement early
If your home country appears on the Exchange Visitor Skills List, your J-1 may carry a 2-year home residency requirement before you can change to H-1B visa or green card status. Check this before accepting an offer, not after, since it affects your long-term U.S. career plans.
Ask your host employer to confirm SEVIS fee payment
You must pay the SEVIS I-901 fee before your visa interview, but your host employer sometimes covers it as part of the internship package. Clarify this during the offer stage to avoid paying out-of-pocket for a cost the company may have budgeted.
Negotiate program start dates around DS-2019 processing
Designated sponsors typically need two to four weeks to issue a DS-2019 after receiving a complete training plan from the host employer. Build this window into your offer negotiation so your program start date doesn't slip due to paperwork timing.
AI ML Intern J-1 Visa: Frequently Asked Questions
Which J-1 program category applies to an AI ML Intern role?
Current students and recent graduates pursuing structured AI or machine learning training typically qualify under the J-1 Intern category. To be eligible, you must be enrolled in, or have graduated from within the past 12 months from, a post-secondary academic program outside the U.S. The internship must directly relate to your field of study, so a computer science or data science background is the usual qualifying credential.
Who actually sponsors my J-1 visa for an AI ML internship?
The J-1 visa sponsor is a U.S. Department of State-designated organization, such as Cultural Vistas, CIEE, or IIE, not your host employer. The designated sponsor issues your DS-2019 form, monitors program compliance, and acts as your official point of contact with the State Department. Your host employer runs the internship itself but is not the legal sponsor of your visa.
Does the J-1 Intern category allow me to work on live AI models or proprietary data?
Yes, but your training plan must describe those activities specifically. Designated sponsors review training plans carefully, and vague descriptions like 'assist with AI projects' are often sent back for revision. List the tools you'll use, the models you'll train, and the datasets you'll work with. The more technical detail in the plan, the faster the DS-2019 is typically approved.
How do I find U.S. employers that host J-1 interns in AI and machine learning?
Use Migrate Mate to search for AI ML Intern roles at U.S. employers with J-1 hosting history. Many tech companies list open internship positions but don't advertise their J-1 eligibility directly in job postings. Filtering by visa-friendly employers saves time and helps you target hosts that already understand the DS-2019 and training plan process.
Can I extend my J-1 AI ML internship beyond the initial program end date?
Extensions are possible but require your designated sponsor's approval before your current DS-2019 expires. The total J-1 Intern program, including any extensions, cannot exceed 12 months. Your host employer must submit a revised training plan justifying the extension, and the sponsor must issue an updated DS-2019. Requests submitted after the program end date cannot be approved retroactively.