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AI ML Engineering roles in the United States are accessible to international professionals through J-1 visa sponsorship under the Trainee or Research Scholar program category. Designated sponsor organizations issue your DS-2019 once a host employer commits to a structured training or research placement.
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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 Engineering Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa AI ML Engineering Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in AI ML Engineering
Frame your portfolio around trainable skills
J-1 visa Trainee sponsors require a structured training plan tied to skills you can't access in your home country. Document specific ML frameworks, compute infrastructure, or dataset pipelines your host employer will expose you to that justify the exchange objective.
Distinguish Research Scholar from Trainee eligibility
If you hold a graduate degree and are joining a university lab or nonprofit research institute, Research Scholar is the correct J-1 category. Trainee fits industry placements. Applying under the wrong category delays DS-2019 issuance and can prompt sponsor rejection.
Target host employers with existing J-1 host agreements
Employers must sign a host agreement with a State Department-designated sponsor before your DS-2019 can be issued. Search for AI and data science teams at research universities, national labs, and technology-focused companies that already hold these agreements to reduce onboarding friction.
Search Migrate Mate for J-1-aligned AI roles
Use Migrate Mate to filter AI ML Engineering positions at employers who have demonstrated openness to international placements. Targeting roles where the team already understands J-1 host requirements saves significant time compared to educating a recruiter from scratch.
Verify wage compliance before accepting an offer
Your host employer must pay you at least the prevailing wage for your role and location. Cross-check your offered compensation against the OFLC Wage Search using your SOC code before signing, so your sponsor has no compliance barrier when reviewing your training plan.
Clarify the two-year home residency requirement early
AI ML Engineering roles at government-funded labs or in fields on the Exchange Visitor Skills List may trigger the two-year home residency requirement, blocking H-1B visa or green card transitions without a waiver. Confirm with your sponsor whether your specific placement qualifies before accepting.
AI ML Engineering J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an AI ML Engineering role?
It depends on your career stage and the type of placement. Current students completing a degree-related internship use the Intern category. Early-career professionals in industry roles typically use Trainee, which requires a structured training plan covering specific technical skills. Researchers joining a university or nonprofit AI lab generally qualify under Research Scholar, which requires a graduate degree and a research-focused host.
Who actually sponsors the J-1 visa for an AI ML Engineering placement?
The visa sponsor is a U.S. Department of State-designated organization, not the hiring employer. Organizations like IIE, Cultural Vistas, and CIEE issue the DS-2019 form and are legally responsible for program compliance. Your host employer, the AI team you join, is separate from the sponsor. The employer must sign a host agreement with the sponsor before your DS-2019 can be issued.
How do I find AI ML Engineering employers open to J-1 host arrangements?
Migrate Mate lets you filter AI ML Engineering roles by employers that have a track record of working with international candidates under structured visa programs. Because host employers must already have or be willing to establish a sponsor agreement, targeting companies already familiar with J-1 mechanics significantly shortens your timeline from offer to DS-2019 issuance.
Does the two-year home residency requirement apply to AI ML Engineering roles?
It can. If your host employer receives U.S. government funding, your home country has designated AI or computer science as a field on the Exchange Visitor Skills List, or your role involves government-to-government programs, the two-year requirement may apply. This would prevent you from changing to H-1B or pursuing permanent residence without first obtaining a waiver. Confirm your specific situation with your designated sponsor before accepting an offer.
What technical documentation does a J-1 Trainee sponsor require for an AI ML role?
Sponsors require a Form DS-7002 Training and Internship Placement Plan that maps your host employer's training objectives to specific, measurable skills. For AI ML roles, this means identifying which models, datasets, cloud platforms, or research methodologies you'll work on and why they're unavailable in your home country. Vague plans citing only general software engineering are routinely rejected. Your host employer drafts this plan in coordination with the sponsor.