J-1 Visa ML Software Engineer Jobs
ML Software Engineer 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, while the hiring company serves as your host employer. No lottery, no annual cap.
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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 ML Software Engineer Jobs
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a ML Software Engineer
Align your CV to specialty occupation standards
ML Software Engineer positions require demonstrable expertise in a specific subfield, such as computer vision, NLP, or reinforcement learning. Frame your CV around published work, model benchmarks, or production deployments rather than coursework alone.
Distinguish Trainee from Research Scholar eligibility
If you graduated within the past 12 months, the Trainee category fits your stage. Research Scholar applies to postdoctoral or established researchers affiliated with a university or institute. Applying under the wrong category delays your DS-2019.
Search Migrate Mate to surface J-1 host employers
Host employers for ML roles aren't always obvious from a job posting. Use Migrate Mate to filter companies that have actively hosted J-1 visa exchange visitors in ML and data-adjacent roles, saving you from cold-applying to organizations unfamiliar with the program.
Confirm the host employer will sign your training plan
Before accepting an offer, verify your prospective employer is willing to complete a structured training plan with your designated sponsor. Without a signed plan, the sponsor cannot issue your DS-2019, regardless of how strong the offer is.
Check the two-year home residency requirement early
J-1 exchange visitors in certain government-funded or skills-shortage fields must return home for two years before switching to H-1B visa or permanent residence. Determine your requirement before you begin negotiating the offer, not after accepting it.
Request your DS-2019 start date matches your offer letter
Your DS-2019 program start date must align with your actual employment start date. If the sponsor issues the form with a date earlier than your offer, your J-1 status clock starts before you arrive, shrinking your authorized period.
ML Software Engineer J-1 Visa: Frequently Asked Questions
Which J-1 program category fits an ML Software Engineer role?
It depends on where you are in your career. Current students or recent graduates typically enter under the Intern or Trainee category, with Trainee applying to those who have graduated within the past 12 months and have relevant work experience. Researchers or postdoctoral engineers affiliated with a university or research institution more often qualify under the Research Scholar category. The designated sponsor makes the final determination based on your background and the host employer's training objectives.
Who actually sponsors the J-1 visa for an ML Software Engineer?
The visa sponsor is a U.S. Department of State-designated organization, not the hiring company. Organizations like IIE, Cultural Vistas, and CIEE are designated sponsors that issue the DS-2019 form, monitor compliance, and approve your training plan. The tech company, research lab, or startup where you work is the host employer. Your employment offer comes from the host, but your legal J-1 status comes from the designated sponsor.
How do I find host employers open to hiring J-1 ML engineers?
Use Migrate Mate to identify U.S. employers who have previously hosted J-1 exchange visitors in technical roles. Many ML-focused companies are unfamiliar with J-1 program requirements, so targeting organizations with prior hosting experience reduces the risk of losing an offer because the employer declines to complete the required training plan paperwork.
Does the two-year home residency requirement apply to ML Software Engineers?
It can, but it isn't automatic. The two-year home residency requirement applies when your J-1 funding comes from your home government or the U.S. government, or when your field appears on the Exchange Visitor Skills List for your country. ML engineering is not uniformly listed, but some nationalities face this requirement depending on their funding source. Confirm your status before accepting an offer if you intend to pursue H-1B or permanent residence afterward.
What does the training plan requirement mean for an ML Software Engineer position?
Your designated sponsor requires a formal training plan that outlines your learning objectives, the skills you'll develop, and how the host employer will evaluate your progress. For ML roles, this typically maps to specific technical milestones, such as model development cycles, dataset work, or deployment processes. The host employer's HR or legal team must sign this plan before the sponsor issues your DS-2019, so confirm willingness early in your offer negotiation.