J-1 Visa AI ML Engineer Jobs
AI ML Engineer roles in the United States are available to exchange visitors through J-1 visa Trainee or Research Scholar sponsorship, depending on your career stage. Designated sponsors issue your DS-2019 and oversee your training plan, while the U.S. employer serves as your host organization. No lottery, no annual cap.
Find J-1 Visa AI ML Engineer JobsOverview
Showing 5 of 29+ AI ML Engineer jobs










See all AI ML Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI ML Engineer roles.
Get Access To All Jobs
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 Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa AI ML Engineer Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship as an AI ML Engineer
Align your training plan to ML subspecialties
Designated sponsors require a detailed training plan before issuing your DS-2019. Map your objectives to specific technical areas, such as computer vision, NLP, or reinforcement learning, so the plan reflects genuine skill development rather than standard employment.
Distinguish Trainee from Research Scholar before applying
Trainee status suits industry roles at companies building ML products, while Research Scholar status fits university labs or R&D institutes. Applying through the wrong category can stall your DS-2019 issuance, so confirm which fits your host organization before any outreach.
Search for J-1-friendly AI ML roles on Migrate Mate
Most job boards don't filter by J-1 compatibility. Migrate Mate lets you search AI ML Engineer positions by employers who have hosted J-1 exchange visitors, saving you the back-and-forth of asking recruiters whether a host arrangement is possible.
Verify wage compliance using OFLC Wage Search
Your host employer must pay the prevailing wage for your role and location. Run the OFLC Wage Search before your offer conversation so you can confirm the salary is compliant, which protects you if your designated sponsor audits the host's records.
Flag the two-year home residency requirement early
Some AI ML Engineer roles at government-affiliated research institutions trigger the two-year home residency requirement under INA Section 212(e). Ask your designated sponsor whether your specific host and funding source create this obligation before signing any offer letter.
Use O*NET to anchor your specialty occupation evidence
If your designated sponsor requests documentation that your role qualifies as a trainee or specialist placement, the O*NET occupation profile for AI ML Engineers lists the typical education and task requirements that support your case without relying on employer-specific claims.
AI ML Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an AI ML Engineer role?
It depends on your career stage and host organization. If you're a current student or recent graduate entering an industry role at a tech company, the Trainee category applies. If you're joining a university lab, national research institute, or federally funded R&D center to conduct original research, Research Scholar is the correct category. Mismatching the category delays your DS-2019 and can put your exchange program at risk.
Who actually sponsors my J-1 visa as an AI ML Engineer?
Your J-1 sponsor is a U.S. Department of State-designated organization, not your employer. Organizations such as IIE, CIEE, Cultural Vistas, or a university's international programs office issue your DS-2019 and oversee your training plan. The company or lab where you work is your host organization. Your employer does not file any visa petition on your behalf the way they would for an H-1B visa.
How do I find U.S. employers open to hosting a J-1 AI ML Engineer?
Most recruiters default to H-1B or OPT when they hear visa sponsorship, so you need to surface employers who already understand the J-1 host arrangement. Migrate Mate lets you filter AI ML Engineer roles by employers familiar with J-1 exchange visitors, which removes the manual step of cold-asking each recruiter whether a host arrangement is feasible.
Does the two-year home residency requirement affect AI ML Engineers?
It can. If your J-1 program is funded by your home government, a U.S. government agency, or if your skill is listed on the Exchange Visitor Skills List for your home country, you may be subject to the two-year foreign residence requirement under INA Section 212(e). AI ML skills are increasingly included on those lists. Confirm with your designated sponsor before accepting any offer, since this requirement affects your ability to change to H-1B or get a green card without a waiver.
What does the training plan for a J-1 AI ML Engineer need to include?
Your designated sponsor requires a formal training plan, typically documented on a DS-7002 form, before issuing the DS-2019. For an AI ML Engineer role, the plan should specify technical objectives tied to identifiable ML tasks, the supervision structure, measurable milestones, and the tools or frameworks you'll use. Vague plans citing general software development get rejected. Your host employer and the sponsor co-sign the plan, so align both parties on the specifics before submission.