AI Research Engineer Jobs in USA with Visa Sponsorship
AI Research Engineer roles attract strong H-1B visa sponsorship from U.S. tech employers, and many positions also qualify under the O-1A visa for researchers with publications or patents. Demand across cloud, semiconductor, and defense AI labs has kept sponsorship rates consistently high for this specialty. For detailed occupation requirements, see the O*NET profile.
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The McCombs School of Business at The University of Texas at Austin invites applications for a faculty position in Artificial Intelligence and Operations Management, beginning in Fall 2027. We seek candidates with a strong commitment to high-quality research and teaching who can contribute to our undergraduate and graduate courses in Artificial Intelligence and Operations Management. We are particularly interested in candidates who use rigorous empirical and data-driven methods to address problems in application domains such as revenue management, supply chains, healthcare, retailing, transportation and logistics, and technology and operations.
A successful candidate will be expected to establish an internationally recognized research program at The University of Texas at Austin, mentor graduate students, and teach at the undergraduate and graduate levels. The predominant mode of instruction and research is in person; accordingly, faculty appointed for employment shall reside in the proximate area of the work site for the duration of their appointment and be able to maintain a daily in-person schedule at the assigned work site.
The McCombs School of Business, with its top-ranked faculty and educational programs, offers a stimulating and collegial environment for innovative research and teaching. The school’s research centers, including centers focused on supply chain management, electronic commerce, entrepreneurship, marketing, and energy management, provide opportunities to collaborate with colleagues across disciplines and interact with a range of industry partners in Austin, throughout Texas, and nationally.
A background check will be conducted on applicants selected for the position prior to appointment.
Qualifications
A Ph.D. (or very near completion) from an accredited institution is required by the start date of the appointment.
Application Instructions
Applicants should submit a letter of interest, curriculum vitae, a job-market paper or other representative research manuscript, and a statement of research objectives and accomplishments. Three confidential letters of recommendation should also be submitted via Interfolio. Candidates with teaching experience should upload teaching evaluations.
At their discretion, applicants with prior faculty experience, such as current assistant or associate professors, may defer submission of recommendation letters during the initial application stage. Such candidates will be asked to provide references if selected as finalists. Additional materials may also be requested after the initial review of applications.
All materials should be submitted through Interfolio using the following link: apply.interfolio.com/194218
The application deadline is December 1, 2026. Applications received by October 15, 2026, will also be considered for interviews at the INFORMS Annual Meeting on November 1, 2026.
Please do not submit applications or updated materials via email.
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.
Description
The McCombs School of Business at The University of Texas at Austin invites applications for a faculty position in Artificial Intelligence and Operations Management, beginning in Fall 2027. We seek candidates with a strong commitment to high-quality research and teaching who can contribute to our undergraduate and graduate courses in Artificial Intelligence and Operations Management. We are particularly interested in candidates who use rigorous empirical and data-driven methods to address problems in application domains such as revenue management, supply chains, healthcare, retailing, transportation and logistics, and technology and operations.
A successful candidate will be expected to establish an internationally recognized research program at The University of Texas at Austin, mentor graduate students, and teach at the undergraduate and graduate levels. The predominant mode of instruction and research is in person; accordingly, faculty appointed for employment shall reside in the proximate area of the work site for the duration of their appointment and be able to maintain a daily in-person schedule at the assigned work site.
The McCombs School of Business, with its top-ranked faculty and educational programs, offers a stimulating and collegial environment for innovative research and teaching. The school’s research centers, including centers focused on supply chain management, electronic commerce, entrepreneurship, marketing, and energy management, provide opportunities to collaborate with colleagues across disciplines and interact with a range of industry partners in Austin, throughout Texas, and nationally.
A background check will be conducted on applicants selected for the position prior to appointment.
Qualifications
A Ph.D. (or very near completion) from an accredited institution is required by the start date of the appointment.
Application Instructions
Applicants should submit a letter of interest, curriculum vitae, a job-market paper or other representative research manuscript, and a statement of research objectives and accomplishments. Three confidential letters of recommendation should also be submitted via Interfolio. Candidates with teaching experience should upload teaching evaluations.
At their discretion, applicants with prior faculty experience, such as current assistant or associate professors, may defer submission of recommendation letters during the initial application stage. Such candidates will be asked to provide references if selected as finalists. Additional materials may also be requested after the initial review of applications.
All materials should be submitted through Interfolio using the following link: apply.interfolio.com/194218
The application deadline is December 1, 2026. Applications received by October 15, 2026, will also be considered for interviews at the INFORMS Annual Meeting on November 1, 2026.
Please do not submit applications or updated materials via email.
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.
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI Research Engineer
Target employers with established H-1B filing histories
Companies like Google, Meta, Microsoft, and OpenAI file hundreds of H-1B petitions annually for research roles. Employers with existing immigration infrastructure move faster and are far less likely to back out after an offer.
Lead with publications, patents, and benchmarks
AI Research Engineer applications succeed when candidates demonstrate measurable research output. Papers on arXiv, NeurIPS acceptances, or model benchmarks give visa petitions concrete evidence of specialty occupation standing and strengthen O-1A eligibility significantly.
Clarify your degree field matches the role
H-1B specialty occupation requires a directly related degree. A PhD in computer science, electrical engineering, or statistics aligns cleanly. Applied mathematics or physics degrees typically qualify too, but include transcript evidence that your coursework covers machine learning specifically.
Ask about cap-exempt employer options early
Universities, federally funded research centers, and nonprofits affiliated with research institutions are H-1B cap-exempt. AI researchers working in academia or national labs can receive H-1B approval any time of year, bypassing the lottery entirely.
Consider the O-1A visa if you have a strong research record
If you have peer-reviewed publications, a high citation count, or have judged others' research, the O-1A is worth evaluating. It has no annual cap, no lottery, and approval rates for credentialed AI researchers with documented contributions run well above average.
Disclose OPT or STEM OPT status upfront with employers
Many AI research roles at qualifying employers allow you to bridge from STEM OPT directly into H-1B cap-gap coverage. Being transparent early lets employers plan the I-129 filing timeline and avoid gaps in your work authorization continuity.
Frequently Asked Questions
Does an AI Research Engineer role qualify as an H-1B specialty occupation?
Yes, AI Research Engineer consistently qualifies as an H-1B visa specialty occupation. USCIS recognizes it as a role that normally requires at least a bachelor's degree in a specific field such as computer science, machine learning, or electrical engineering. Roles focused on model architecture, training pipelines, or applied research have strong approval histories, particularly when the employer can document that a theoretical and practical degree background is standard for the position.
Do I need a PhD to get H-1B sponsorship as an AI Research Engineer?
No, a PhD is not required, but it significantly strengthens both your sponsorship prospects and the visa petition itself. Most employers will sponsor candidates with a master's degree in a relevant field, especially when paired with publications, industry experience, or open-source contributions. Some roles at research-focused labs de facto prefer PhDs, so review job descriptions carefully. You can browse AI Research Engineer roles with sponsorship on Migrate Mate to see how requirements vary by employer.
Can I qualify for an O-1A visa as an AI Research Engineer?
Yes, and many AI researchers are stronger O-1A candidates than they realize. USCIS evaluates O-1A petitions across ten criteria, including published work in peer-reviewed venues, high citation counts, judging others' research, and contributions of major significance. Researchers with NeurIPS, ICML, or ICLR publications, or whose work is widely cited, often meet three or more criteria. The O-1A has no lottery and no cap, making it a practical alternative for researchers who miss the H-1B selection.
What happens to my visa status if I switch employers between research projects?
If you're on H-1B status, you can begin working for a new employer as soon as they file an H-1B transfer petition with USCIS, under H-1B portability rules, without waiting for approval. Your authorization continues as long as the new petition is non-frivolous and filed before your current status expires. If you're on STEM OPT, employer changes require updating your I-983 training plan within ten days, so notify your designated school official immediately when an offer is confirmed.
Which types of employers sponsor AI Research Engineer roles most reliably?
Large technology companies with dedicated AI divisions, semiconductor firms, cloud infrastructure providers, defense contractors, and academic medical centers with research arms are the most consistent sponsors. Universities and federally funded research centers are especially valuable because they are H-1B cap-exempt, meaning no lottery. Startups can and do sponsor, but their immigration infrastructure varies widely. Migrate Mate filters AI Research Engineer roles by sponsorship availability so you can identify employers already filing petitions in this category.
What is the prevailing wage requirement for sponsored AI Research Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.