AI ML Engineering Visa Sponsorship Jobs in Utah
Utah's AI and ML engineering market is concentrated in Salt Lake City's Silicon Slopes corridor, where companies like Adobe, Qualtrics, and a growing cluster of funded startups actively hire for these roles. Pluralsight, Domo, and university-affiliated research initiatives at the University of Utah also drive consistent demand for AI and ML talent with visa sponsorship.
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Utah State University’s Department of Electrical and Computer Engineering (ECE) invites applications to fill two faculty positions in Artificial Intelligence and Machine Learning (AI/ML): one tenure-track position (research and teaching) and one professional practice position (teaching emphasis). It is expected that these positions will be filled at either the Assistant or Associate Professor level. We seek applicants with cross-disciplinary backgrounds whose expertise lies at the intersection of AI/ML and electrical engineering. Preference will be given to applicants whose research and/or work experience applies AI/ML to problems in electrical engineering including but not limited to:
- Signal processing, communications, radar
- Control, robotics, drones/UAVs
- Electromagnetics, antennas
- Speech and natural language processing
- Remote sensing, computer vision
- Electric power systems
- Cybersecurity, computer networks, cryptography
The search committee will begin reviewing applications on November 1, 2024, and continue until the position is filled. Possible start dates, coinciding with USU’s semester schedule, are January 2025 and August 2025.
Responsibilities
Successful candidates for the tenure-track position will be expected to develop an externally funded research program that includes peer-reviewed publications and graduate student mentorship. Both tenure-track and professional practice positions are expected to effectively teach undergraduate and graduate courses, actively participate in assigned department and university duties, and serve their professional society. Ideal candidates will have an interest in developing new courses and degree programs in AI/ML and its applications to engineering.
Minimum Qualifications – Tenure Track Appointment
- An earned doctorate degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, or a closely related discipline.
- An ability to conduct and disseminate research that applies AI/ML to problems in the electrical engineering domain.
- An ability to develop courses in AI/ML and effectively teach undergraduate and graduate level courses in AI/ML and the candidate’s specific area of research emphasis in accordance with departmental needs.
- An ability to apply for and secure ongoing external funding.
Preferred Qualifications – Tenure Track Appointment
- Preference will be given to candidates with experience building and deploying AI/ML systems.
Minimum Qualifications – Professional Practice Appointment
- An earned MS degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, or equivalent work experience.
- Strong industrial, commercial, consulting, or research experience in AI/ML systems.
- An ability to develop courses in AI/ML and effectively teach undergraduate and graduate level courses in AI/ML and the candidate’s specific area of research emphasis in accordance with departmental needs.
- Effective written and oral communication skills.
- Demonstrated strong organizational skills.
Preferred Qualifications – Professional Practice Appointment
- Effective teaching or mentoring experience.
- Advanced degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics or a closely related discipline.
Required Documents
Along with the online application, please attach:
- Resume/CV to be uploaded at the beginning of your application in the Candidate Profile under “Resume/CV".
- The Documents Listed Below To Be Uploaded At The Beginning Of Your Application In The Candidate Profile Under “Documents 1-10”
- Cover letter summarizing your motivation, qualifications, experience, and career goals.
- A concise statement of your proposed research program including how your research synthesizes AI/ML and engineering topics.
- A brief teaching statement that explains your approach to teaching and describes AI/ML courses you would like to develop and existing ECE courses you would like to teach.
- Names and contact information of three professional references (reference letters will only be solicited from final candidates).
Document size may not exceed 10 MB.
Advertised Salary
Commensurate With Experience, Plus Excellent Benefits
ADA
Employees typically work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes.
College/Department Highlights
The Department of Electrical and Computer Engineering offers BS, ME, MS, and PhD degrees. It has approximately 20 tenured/tenure track faculty, 100 graduate students, and 300 undergraduate students. The ECE Department offers strong graduate programs at the masters and PhD levels.
University Highlights
Founded in 1888, Utah State University is Utah’s premier land-grant, public service university. As an R1 research institution, Utah State is dedicated to advancing knowledge and serving the public good through innovative research and scholarly activities that are grounded in reciprocal engagement with local, regional, and global communities. USU prepares students to be active, civically engaged leaders who are prepared to address critical societal challenges. Dedicated to providing a high-quality and affordable education, USU remains a leader in research, discovery, and public impact. USU enrolls over 29,800 students, both online and in person at locations throughout the state. Utah State’s 30 locations include a main campus in Logan, Utah, residential campuses in Price and Blanding, and six additional statewide campuses, along with education centers serving every county. USU educates students from all 50 states and more than 80 countries. For over 100 years, USU Extension has served and engaged Utahns, serving every county in the state. Competing at the NCAA Division I level, USU is a proud member of the Mountain West Conference and will join the Pac-12 Conference beginning in the 2026-2027 season. The Aggies’ long-standing tradition of athletic and academic excellence is exemplified by recent Mountain West regular-season and tournament championships in women’s volleyball, three consecutive Mountain West tournament titles in women’s soccer conference championships, and a first-ever conference championship for gymnastics, reflecting USU's commitment to perseverance and achievement. Utah State is dedicated to fostering a community where all individuals feel respected, valued, and supported and where diversity of thought and culture are cultivated. We seek to recruit, hire, and retain people from all walks of life who will champion excellence in education, research, discovery, outreach, and service. We believe that promoting a strong sense of community and belonging empowers and engages all members of USU to thrive and be successful. Forbes recognized our commitment to employees when they named Utah State the best employer in Utah in 2023. Learn more about USU. The university provides a Dual Career Assistance Program to support careers for partners who are also seeking employment. Additionally, USU is committed to providing access and a reasonable accommodation for individuals with disabilities. To request a reasonable accommodation for a disability, contact the university’s ADA Coordinator in the Office of Human Resources at (435) 797-0122 or hr@usu.edu.
Notice of Non-discrimination
In its programs and activities, including in admissions and employment, Utah State University does not discriminate or tolerate discrimination, including harassment, based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy, Title IX, or any other federal, state, or local law. Utah State University is an equal opportunity employer and does not discriminate or tolerate discrimination including harassment in employment including in hiring, promotion, transfer, or termination based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy or any other federal, state, or local law. Utah State University does not discriminate in its housing offerings and will treat all persons fairly and equally without regard to race, color, religion, sex, familial status, disability, national origin, source of income, sexual orientation, or gender identity. Additionally, the University endeavors to provide reasonable accommodations when necessary and to ensure equal access to qualified persons with disabilities. In all circumstances, Utah State University follows state and federal laws related to sex-segregated spaces.
The Following Individuals Have Been Designated To Handle Inquiries Regarding The Application Of Title IX And Its Implementing Regulations And/or USU’s Non-discrimination Policies
Matthew Pinner
Executive Director Civil Rights & Title IX Office
matthew.pinner@usu.edu
435-797-1266 | Old Main Rm. 401D
1475 Old Main Hill, Logan, UT 84322
Cody Carmichael
Title IX Coordinator
cody.carmichael@usu.edu
435-797-1266 | Old Main Rm. 402D
1475 Old Main Hill, Logan, UT 84322
For further information regarding non-discrimination, please visit crtix.usu.edu or contact:
U.S. Department of Education Denver Regional Office
303-844-5695 | OCR.Denver@ed.gov
U.S. Department of Education Office of Assistant Secretary for Civil Rights
800-421-3481 | OCR@ed.gov
Overview
Utah State University’s Department of Electrical and Computer Engineering (ECE) invites applications to fill two faculty positions in Artificial Intelligence and Machine Learning (AI/ML): one tenure-track position (research and teaching) and one professional practice position (teaching emphasis). It is expected that these positions will be filled at either the Assistant or Associate Professor level. We seek applicants with cross-disciplinary backgrounds whose expertise lies at the intersection of AI/ML and electrical engineering. Preference will be given to applicants whose research and/or work experience applies AI/ML to problems in electrical engineering including but not limited to:
- Signal processing, communications, radar
- Control, robotics, drones/UAVs
- Electromagnetics, antennas
- Speech and natural language processing
- Remote sensing, computer vision
- Electric power systems
- Cybersecurity, computer networks, cryptography
The search committee will begin reviewing applications on November 1, 2024, and continue until the position is filled. Possible start dates, coinciding with USU’s semester schedule, are January 2025 and August 2025.
Responsibilities
Successful candidates for the tenure-track position will be expected to develop an externally funded research program that includes peer-reviewed publications and graduate student mentorship. Both tenure-track and professional practice positions are expected to effectively teach undergraduate and graduate courses, actively participate in assigned department and university duties, and serve their professional society. Ideal candidates will have an interest in developing new courses and degree programs in AI/ML and its applications to engineering.
Minimum Qualifications – Tenure Track Appointment
- An earned doctorate degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, or a closely related discipline.
- An ability to conduct and disseminate research that applies AI/ML to problems in the electrical engineering domain.
- An ability to develop courses in AI/ML and effectively teach undergraduate and graduate level courses in AI/ML and the candidate’s specific area of research emphasis in accordance with departmental needs.
- An ability to apply for and secure ongoing external funding.
Preferred Qualifications – Tenure Track Appointment
- Preference will be given to candidates with experience building and deploying AI/ML systems.
Minimum Qualifications – Professional Practice Appointment
- An earned MS degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, or equivalent work experience.
- Strong industrial, commercial, consulting, or research experience in AI/ML systems.
- An ability to develop courses in AI/ML and effectively teach undergraduate and graduate level courses in AI/ML and the candidate’s specific area of research emphasis in accordance with departmental needs.
- Effective written and oral communication skills.
- Demonstrated strong organizational skills.
Preferred Qualifications – Professional Practice Appointment
- Effective teaching or mentoring experience.
- Advanced degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics or a closely related discipline.
Required Documents
Along with the online application, please attach:
- Resume/CV to be uploaded at the beginning of your application in the Candidate Profile under “Resume/CV".
- The Documents Listed Below To Be Uploaded At The Beginning Of Your Application In The Candidate Profile Under “Documents 1-10”
- Cover letter summarizing your motivation, qualifications, experience, and career goals.
- A concise statement of your proposed research program including how your research synthesizes AI/ML and engineering topics.
- A brief teaching statement that explains your approach to teaching and describes AI/ML courses you would like to develop and existing ECE courses you would like to teach.
- Names and contact information of three professional references (reference letters will only be solicited from final candidates).
Document size may not exceed 10 MB.
Advertised Salary
Commensurate With Experience, Plus Excellent Benefits
ADA
Employees typically work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes.
College/Department Highlights
The Department of Electrical and Computer Engineering offers BS, ME, MS, and PhD degrees. It has approximately 20 tenured/tenure track faculty, 100 graduate students, and 300 undergraduate students. The ECE Department offers strong graduate programs at the masters and PhD levels.
University Highlights
Founded in 1888, Utah State University is Utah’s premier land-grant, public service university. As an R1 research institution, Utah State is dedicated to advancing knowledge and serving the public good through innovative research and scholarly activities that are grounded in reciprocal engagement with local, regional, and global communities. USU prepares students to be active, civically engaged leaders who are prepared to address critical societal challenges. Dedicated to providing a high-quality and affordable education, USU remains a leader in research, discovery, and public impact. USU enrolls over 29,800 students, both online and in person at locations throughout the state. Utah State’s 30 locations include a main campus in Logan, Utah, residential campuses in Price and Blanding, and six additional statewide campuses, along with education centers serving every county. USU educates students from all 50 states and more than 80 countries. For over 100 years, USU Extension has served and engaged Utahns, serving every county in the state. Competing at the NCAA Division I level, USU is a proud member of the Mountain West Conference and will join the Pac-12 Conference beginning in the 2026-2027 season. The Aggies’ long-standing tradition of athletic and academic excellence is exemplified by recent Mountain West regular-season and tournament championships in women’s volleyball, three consecutive Mountain West tournament titles in women’s soccer conference championships, and a first-ever conference championship for gymnastics, reflecting USU's commitment to perseverance and achievement. Utah State is dedicated to fostering a community where all individuals feel respected, valued, and supported and where diversity of thought and culture are cultivated. We seek to recruit, hire, and retain people from all walks of life who will champion excellence in education, research, discovery, outreach, and service. We believe that promoting a strong sense of community and belonging empowers and engages all members of USU to thrive and be successful. Forbes recognized our commitment to employees when they named Utah State the best employer in Utah in 2023. Learn more about USU. The university provides a Dual Career Assistance Program to support careers for partners who are also seeking employment. Additionally, USU is committed to providing access and a reasonable accommodation for individuals with disabilities. To request a reasonable accommodation for a disability, contact the university’s ADA Coordinator in the Office of Human Resources at (435) 797-0122 or hr@usu.edu.
Notice of Non-discrimination
In its programs and activities, including in admissions and employment, Utah State University does not discriminate or tolerate discrimination, including harassment, based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy, Title IX, or any other federal, state, or local law. Utah State University is an equal opportunity employer and does not discriminate or tolerate discrimination including harassment in employment including in hiring, promotion, transfer, or termination based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy or any other federal, state, or local law. Utah State University does not discriminate in its housing offerings and will treat all persons fairly and equally without regard to race, color, religion, sex, familial status, disability, national origin, source of income, sexual orientation, or gender identity. Additionally, the University endeavors to provide reasonable accommodations when necessary and to ensure equal access to qualified persons with disabilities. In all circumstances, Utah State University follows state and federal laws related to sex-segregated spaces.
The Following Individuals Have Been Designated To Handle Inquiries Regarding The Application Of Title IX And Its Implementing Regulations And/or USU’s Non-discrimination Policies
Matthew Pinner
Executive Director Civil Rights & Title IX Office
matthew.pinner@usu.edu
435-797-1266 | Old Main Rm. 401D
1475 Old Main Hill, Logan, UT 84322
Cody Carmichael
Title IX Coordinator
cody.carmichael@usu.edu
435-797-1266 | Old Main Rm. 402D
1475 Old Main Hill, Logan, UT 84322
For further information regarding non-discrimination, please visit crtix.usu.edu or contact:
U.S. Department of Education Denver Regional Office
303-844-5695 | OCR.Denver@ed.gov
U.S. Department of Education Office of Assistant Secretary for Civil Rights
800-421-3481 | OCR@ed.gov
AI ML Engineering Job Roles in Utah
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Search AI ML Engineering Jobs in UtahAI ML Engineering Jobs in Utah: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Utah?
Adobe's Lehi office, Qualtrics in Provo, and Domo in American Fork are among the larger employers that have sponsored H-1B visas for AI and ML engineering roles in Utah. Several well-funded Silicon Slopes startups also file H-1B petitions for these positions. Sponsorship practices vary by company size, hiring cycle, and role seniority, so verifying directly with each employer is always the right step.
Which visa types are most common for AI ML engineering roles in Utah?
The H-1B is the most common visa category for AI and ML engineering positions in Utah, given that these roles typically require at least a bachelor's degree in computer science, statistics, or a related field, which satisfies the specialty occupation standard. Candidates with extraordinary research records may also qualify for the O-1A. Some employers, particularly those with global operations, use the L-1A or L-1B for internal transfers into Utah-based AI teams.
Which cities in Utah have the most AI ML engineering sponsorship jobs?
Salt Lake City and the broader Silicon Slopes corridor, which runs through Lehi, Provo, and American Fork, account for the large majority of AI and ML engineering sponsorship opportunities in Utah. Salt Lake City benefits from proximity to the University of Utah's research programs, while Lehi and Provo attract established tech companies and venture-backed startups. Ogden sees smaller but growing activity through defense-adjacent technology firms.
How to find ai ml engineering visa sponsorship jobs in Utah?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse AI and ML engineering roles in Utah without sifting through positions that don't offer sponsorship. You can narrow results to Utah-based companies across Salt Lake City, Lehi, and Provo. Because Silicon Slopes hiring moves quickly, checking Migrate Mate regularly gives you the best chance of catching new openings before they close.
Are there any Utah-specific factors that affect AI ML engineering visa sponsorship hiring?
Utah's tech sector has grown significantly through the Silicon Slopes ecosystem, which has attracted enterprise software companies and AI-focused startups that regularly hire internationally. The University of Utah's School of Computing produces strong graduate talent pipelines that some employers use as a pathway to sponsorship, particularly through OPT and STEM OPT extensions. Utah's relatively lower cost of operations compared to coastal hubs can also make sponsorship more financially feasible for mid-size companies.
What is the prevailing wage for sponsored ai ml engineering jobs in Utah?
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.