Machine Learning Visa Sponsorship Jobs in Ohio
Ohio's machine learning job market is anchored by employers like JPMorgan Chase and Nationwide in Columbus, healthcare systems like Cleveland Clinic and University Hospitals in Northeast Ohio, and a growing tech sector supported by Ohio State University's AI research programs. Companies across finance, insurance, and healthcare regularly sponsor H-1B visas for qualified machine learning engineers and data scientists.
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Assistant/Associate Professor of Artificial Intelligence and Machine Learning in Veterinary Population Health
Department:
Veterinary Medicine | Veterinary Preventive Medicine
Position Overview
The Department of Veterinary Preventive Medicine in the College of Veterinary Medicine at The Ohio State University invites applications for a full-time, tenure-track faculty appointment at the rank of Assistant or Associate Professor, specializing in Artificial Intelligence (AI) and Machine Learning (ML). We seek an AI/ML scholar whose research focuses on developing and applying innovative computational methods to address critical challenges in veterinary medicine, disease prevention and control, and population health. Ideal candidates will have a strong background in AI/ML and a demonstrated ability to translate advanced analytical approaches into meaningful discoveries and practical applications relevant to animal health and welfare. This position complements The Ohio State University’s AI Hiring Initiative to harness AI to revolutionize the translation of ideas to real-world solutions for Ohio and beyond.
The primary responsibilities of this position will be to conduct innovative, translational research at the intersection of advanced computational data science and veterinary medicine. Candidates must demonstrate significant AI/ML expertise as a core element of their scholarship through the development of novel methods or the application of existing approaches that generate new scientific knowledge, methodological advances, or practice solutions for veterinary preventive medicine and population health. The successful candidates will maintain an extramurally funded research program that prioritizes translational science discoveries using novel approaches that support animal health and/or welfare. The position is intended for faculty whose scholarly contributions are centered on AI/ML and their advancement or innovative application in veterinary and population health contexts, rather than the routine use of existing AI tools.
In addition to research, the successful candidate is expected to maintain a teaching program. Teaching responsibilities will include providing instruction to veterinary and graduate students on topics that may include preventive medicine, animal welfare, and/or disease diagnosis and prevention and control. The candidate may also be expected to develop and deliver content that expands AI literacy and promotes the responsible and effective use of AI tools in veterinary medicine and related disciplines.
The successful candidate is expected to serve in department, college, and university level initiatives including the OSU AI (x) Hub that aims to pioneer AI innovation for the public good. They will also have the opportunity to engage with regulatory agencies and external stakeholders to use AI to advance veterinary medicine. The specific distribution of effort will be adjusted to reflect the strengths and interests of the successful candidate but will remain predominately focused on research.
Performance Objectives
- Conduct translational research using AI/ML approaches to address challenges in veterinary medicine, disease prevention and control, and population health. Illustrative examples include:
- Traditional and syndromic disease surveillance
- Precision livestock farming, herd health informatics, and integrated decision support
- Predictive modeling for disease prevention, diagnosis, treatment, and population health and welfare management
- Population genomics, genetics and epidemiological forecasting
- Develop and maintain a nationally and internationally recognized, extramurally funded research program focused on applied AI and machine learning in preventive veterinary medicine and population health.
- Collaborate across disciplines (e.g., computer science, data analytics, public health, agriculture, medicine, and veterinary medicine) to foster cross-cutting research.
- Deliver high-quality instruction in core and elective topics, which may include veterinary preventive medicine, epidemiology, animal welfare, and data-driven disease prevention and control.
- Contribute to educational activities that expand AI literacy and promote the responsible use and evaluation of AI in veterinary medicine.
- Mentor graduate students (MS/PhD) and postdoctoral fellows in applied data science and population health.
- Engage with professional organizations, regulatory agencies, and industry stakeholders to advance the field of veterinary medicine.
- Provide service to the department, college, and university through committee participation, academic governance, and participation in OSU AI(X) Hub.
Education and Experience Requirements
Ideal candidates will demonstrate significant AI expertise as a core element of their scholarship whether through the creation of new AI methods or novel use of AI techniques that materially advance knowledge, methods, or practice in their discipline.
For this search, “AI” includes (but is not limited to) Machine Learning (ML), Deep Learning, Reinforcement Learning, Optimization for/with ML, Probabilistic Modeling, Trustworthy/responsible AI (fairness, safety, privacy, robustness, interpretability), Human-centered AI, Natural Language Processing (NLP), Computer Vision, Robotics, Scientific/Physics-informed Machine Learning (ML), AI Systems and Infrastructure, Domain-driven AI advancements in and across disciplines.
In addition to the disciplinary requirements for potential selection as a faculty, a qualified candidate will develop, advance, or rigorously evaluate AI methods, lead AI-centered applications that produce generalizable methodological advances (e.g., new algorithms, models, evaluation frameworks, datasets/benchmarks, or system designs), design/adapt AI approaches to solve previously intractable questions in a domain leading to generalizable insights advancements.
Routine use of off-the-shelf AI tools that does not produce methodological innovation, or field-advancing knowledge is not sufficient for an AI faculty hire for this initiative.
Required:
- DVM (or equivalent) or a PhD in Epidemiology, Veterinary Preventive Medicine, Biomedical Informatics, Computer Science, Data Science, or a closely related field.
- Demonstrates a track record of scholarship centered on AI/ML methodologies applied to biological, medical, or population-level data.
- Evidence of, or strong potential for, securing extramural research funding.
- Strong communication skills.
Desired:
- Both a DVM and a PhD in an AI relevant field.
- Board certification (or eligibility) in a relevant veterinary specialty (e.g., ACVPM, ACZM, ACVM).
- Hands-on experience deploying AI/ML models in practical, clinical, agricultural, or wildlife settings.
- Prior experience teaching epidemiology, biostatistics, or digital health concepts to non-computational learners.
Additional Information
The offer for this position will be based on internal equity and the candidate's qualifications.
Ohio State provides access to a depth and breadth of opportunities and resources. Starting your first day, Ohio State offers you a comprehensive benefits package.
How to Apply
To be considered, please submit your application electronically via Workday. Application materials must include:
- Cover letter
- Curriculum Vita (CV)
- Statement of Research
- Statement of Teaching and Mentoring
Application closes 09/15/2026.
Additional information regarding this search or the position can be obtained by contacting Dr. Greg Ballash at ballash.4@osu.edu.
The College
The Ohio State University College of Veterinary Medicine (OSU CVM) is a nationally recognized leader in veterinary education, research, and clinical service, committed to improving animal and human health through innovation and collaboration. Home to state-of-the-art facilities and a vibrant academic community, the College offers exceptional opportunities for professional growth, interdisciplinary partnership, and impactful scholarship. The Ohio State University College of Veterinary Medicine is ranked among the top North American Colleges of Veterinary Medicine. We support diverse beliefs and the free exchange of ideas and expect that faculty, staff, and students promote these values and apply them in a professional manner in all academic endeavors.
Department Information
The Department of Veterinary Preventive Medicine provides the major preventive medicine and public health focus for the OSU College of Veterinary Medicine. There are approximately 30 faculty members in the department located at the College of Veterinary Medicine in Columbus and The Ohio State Large Animal Services at Marysville. The department has world-class facilities and strong collaborative programs that focus on a wide variety of animal populations. This infrastructure provides extensive teaching resources and considerable opportunity for collaborative research. The application of innovative approaches to problem solving and collaborative efforts have enabled faculty in the department to be competitive in obtaining external funding and be successful in training high-quality graduate and veterinary students.
The University
Ohio State is a top-20 public university, and its Ohio State Wexner Medical Center is one of America’s leading academic health centers. Eligible Ohio State employees receive comprehensive benefits packages, including medical, dental and vision insurance, tuition assistance for employees and their dependents, and state or alternative retirement options with competitive employer contributions.
Grounded in Ohio State University’s Shared Values, our university community welcomes differences, encourages open-minded exploration and courageous thinking, and upholds freedom of expression.
Ohio State is a dynamic community where opportunity thrives, and individuals transform themselves and their world. Positions are available in countless fields and specialties. Become a Buckeye and contribute to an incredible legacy that serves to guide our future and shape a better tomorrow.
The Ohio State University is committed to enhancing academic excellence. Recruiting, supporting, and retaining faculty of the highest caliber is a core component of this commitment. The Office of Academic Affairs (OAA) has established central resources to focus on offering support to new and prospective faculty and their loved ones. Service offerings include dual career partner consultation, potential employer and/or employment opportunity identification, consultation and resources related to relocation, as well as identifying opportunities to engage on campus and in the surrounding community. While employment opportunities are not guaranteed, resources and consultation are available. More information about dual career and faculty recruitment can be found here.
In addition to being responsive to dual-career opportunities, we strongly promote work-life balance to support our community members through a suite of institutionalized policies. Ohio State is a member of the Michigan, Ohio, Western Pennsylvania & West Virginia HERC.
Located in Ohio’s capital city, Ohio State’s Columbus campus is near the center of a rapidly growing and vibrant metropolitan area with a population of over 1.5 million. The area offers a wide range of affordable housing, many cultural and recreational opportunities, excellent schools, and a strong economy based on government as well as service, transportation, and technology industries. Additional information about the Columbus area is available here. Beyond its Columbus campus, Ohio State has four regional campuses including Ohio State Lima, Ohio State Mansfield, Ohio State Marion, and Ohio State Newark, in addition to the College of Food, Agricultural, and Environmental Sciences (CFAES) Wooster Campus, which houses Ohio State ATI.
The university is an equal opportunity employer, including veterans and disability.
Final candidates are subject to successful completion of a background check. Additionally, there may be further requirements specific to the college or unit, which could include drug and health screenings, as well as faculty misconduct checks depending on the rank of the position.
Location:
Sisson Hall (0080)
Position Type:
Regular
Scheduled Hours:
40
Shift:
First Shift
The Ohio State University believes in diversity in people and ideas. What Ohio State does matters. And how we do it matters. When we are at our best, we make a real difference to people. Our size, breadth, geography, history and standard of excellence position us to drive the future of higher education. We believe that the university should be a place where people can work and learn together in a safe environment, free of violence, harassment, discrimination, exploitation, or intimidation. As such, finalists for any faculty position that carries tenure must sign an authorization and disclosure form, which will allow current or prior employer(s) to share information to the University regarding any findings of employment-related misconduct or disciplinary proceedings against a candidate and/or any pending investigations related to alleged misconduct. Such information shall include findings and pending investigations with respect to sexual harassment, violence, or harassment; research misconduct; financial fraud or misconduct; foreign influence violations, grant misuse or misconduct; and/or any other type of finding or pending investigation relating to a candidate’s employer’s policies and rules governing faculty conduct that may reasonably be expected to affect a candidate’s appointment. If the University becomes aware of any past finding of misconduct or pending investigations that were not disclosed, Ohio State will treat that as a serious omission and reserves the right to rescind an offer or terminate employment.
Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.
Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions.
The university is an equal opportunity employer, including veterans and disability.
Job Title:
Assistant/Associate Professor of Artificial Intelligence and Machine Learning in Veterinary Population Health
Department:
Veterinary Medicine | Veterinary Preventive Medicine
Position Overview
The Department of Veterinary Preventive Medicine in the College of Veterinary Medicine at The Ohio State University invites applications for a full-time, tenure-track faculty appointment at the rank of Assistant or Associate Professor, specializing in Artificial Intelligence (AI) and Machine Learning (ML). We seek an AI/ML scholar whose research focuses on developing and applying innovative computational methods to address critical challenges in veterinary medicine, disease prevention and control, and population health. Ideal candidates will have a strong background in AI/ML and a demonstrated ability to translate advanced analytical approaches into meaningful discoveries and practical applications relevant to animal health and welfare. This position complements The Ohio State University’s AI Hiring Initiative to harness AI to revolutionize the translation of ideas to real-world solutions for Ohio and beyond.
The primary responsibilities of this position will be to conduct innovative, translational research at the intersection of advanced computational data science and veterinary medicine. Candidates must demonstrate significant AI/ML expertise as a core element of their scholarship through the development of novel methods or the application of existing approaches that generate new scientific knowledge, methodological advances, or practice solutions for veterinary preventive medicine and population health. The successful candidates will maintain an extramurally funded research program that prioritizes translational science discoveries using novel approaches that support animal health and/or welfare. The position is intended for faculty whose scholarly contributions are centered on AI/ML and their advancement or innovative application in veterinary and population health contexts, rather than the routine use of existing AI tools.
In addition to research, the successful candidate is expected to maintain a teaching program. Teaching responsibilities will include providing instruction to veterinary and graduate students on topics that may include preventive medicine, animal welfare, and/or disease diagnosis and prevention and control. The candidate may also be expected to develop and deliver content that expands AI literacy and promotes the responsible and effective use of AI tools in veterinary medicine and related disciplines.
The successful candidate is expected to serve in department, college, and university level initiatives including the OSU AI (x) Hub that aims to pioneer AI innovation for the public good. They will also have the opportunity to engage with regulatory agencies and external stakeholders to use AI to advance veterinary medicine. The specific distribution of effort will be adjusted to reflect the strengths and interests of the successful candidate but will remain predominately focused on research.
Performance Objectives
- Conduct translational research using AI/ML approaches to address challenges in veterinary medicine, disease prevention and control, and population health. Illustrative examples include:
- Traditional and syndromic disease surveillance
- Precision livestock farming, herd health informatics, and integrated decision support
- Predictive modeling for disease prevention, diagnosis, treatment, and population health and welfare management
- Population genomics, genetics and epidemiological forecasting
- Develop and maintain a nationally and internationally recognized, extramurally funded research program focused on applied AI and machine learning in preventive veterinary medicine and population health.
- Collaborate across disciplines (e.g., computer science, data analytics, public health, agriculture, medicine, and veterinary medicine) to foster cross-cutting research.
- Deliver high-quality instruction in core and elective topics, which may include veterinary preventive medicine, epidemiology, animal welfare, and data-driven disease prevention and control.
- Contribute to educational activities that expand AI literacy and promote the responsible use and evaluation of AI in veterinary medicine.
- Mentor graduate students (MS/PhD) and postdoctoral fellows in applied data science and population health.
- Engage with professional organizations, regulatory agencies, and industry stakeholders to advance the field of veterinary medicine.
- Provide service to the department, college, and university through committee participation, academic governance, and participation in OSU AI(X) Hub.
Education and Experience Requirements
Ideal candidates will demonstrate significant AI expertise as a core element of their scholarship whether through the creation of new AI methods or novel use of AI techniques that materially advance knowledge, methods, or practice in their discipline.
For this search, “AI” includes (but is not limited to) Machine Learning (ML), Deep Learning, Reinforcement Learning, Optimization for/with ML, Probabilistic Modeling, Trustworthy/responsible AI (fairness, safety, privacy, robustness, interpretability), Human-centered AI, Natural Language Processing (NLP), Computer Vision, Robotics, Scientific/Physics-informed Machine Learning (ML), AI Systems and Infrastructure, Domain-driven AI advancements in and across disciplines.
In addition to the disciplinary requirements for potential selection as a faculty, a qualified candidate will develop, advance, or rigorously evaluate AI methods, lead AI-centered applications that produce generalizable methodological advances (e.g., new algorithms, models, evaluation frameworks, datasets/benchmarks, or system designs), design/adapt AI approaches to solve previously intractable questions in a domain leading to generalizable insights advancements.
Routine use of off-the-shelf AI tools that does not produce methodological innovation, or field-advancing knowledge is not sufficient for an AI faculty hire for this initiative.
Required:
- DVM (or equivalent) or a PhD in Epidemiology, Veterinary Preventive Medicine, Biomedical Informatics, Computer Science, Data Science, or a closely related field.
- Demonstrates a track record of scholarship centered on AI/ML methodologies applied to biological, medical, or population-level data.
- Evidence of, or strong potential for, securing extramural research funding.
- Strong communication skills.
Desired:
- Both a DVM and a PhD in an AI relevant field.
- Board certification (or eligibility) in a relevant veterinary specialty (e.g., ACVPM, ACZM, ACVM).
- Hands-on experience deploying AI/ML models in practical, clinical, agricultural, or wildlife settings.
- Prior experience teaching epidemiology, biostatistics, or digital health concepts to non-computational learners.
Additional Information
The offer for this position will be based on internal equity and the candidate's qualifications.
Ohio State provides access to a depth and breadth of opportunities and resources. Starting your first day, Ohio State offers you a comprehensive benefits package.
How to Apply
To be considered, please submit your application electronically via Workday. Application materials must include:
- Cover letter
- Curriculum Vita (CV)
- Statement of Research
- Statement of Teaching and Mentoring
Application closes 09/15/2026.
Additional information regarding this search or the position can be obtained by contacting Dr. Greg Ballash at ballash.4@osu.edu.
The College
The Ohio State University College of Veterinary Medicine (OSU CVM) is a nationally recognized leader in veterinary education, research, and clinical service, committed to improving animal and human health through innovation and collaboration. Home to state-of-the-art facilities and a vibrant academic community, the College offers exceptional opportunities for professional growth, interdisciplinary partnership, and impactful scholarship. The Ohio State University College of Veterinary Medicine is ranked among the top North American Colleges of Veterinary Medicine. We support diverse beliefs and the free exchange of ideas and expect that faculty, staff, and students promote these values and apply them in a professional manner in all academic endeavors.
Department Information
The Department of Veterinary Preventive Medicine provides the major preventive medicine and public health focus for the OSU College of Veterinary Medicine. There are approximately 30 faculty members in the department located at the College of Veterinary Medicine in Columbus and The Ohio State Large Animal Services at Marysville. The department has world-class facilities and strong collaborative programs that focus on a wide variety of animal populations. This infrastructure provides extensive teaching resources and considerable opportunity for collaborative research. The application of innovative approaches to problem solving and collaborative efforts have enabled faculty in the department to be competitive in obtaining external funding and be successful in training high-quality graduate and veterinary students.
The University
Ohio State is a top-20 public university, and its Ohio State Wexner Medical Center is one of America’s leading academic health centers. Eligible Ohio State employees receive comprehensive benefits packages, including medical, dental and vision insurance, tuition assistance for employees and their dependents, and state or alternative retirement options with competitive employer contributions.
Grounded in Ohio State University’s Shared Values, our university community welcomes differences, encourages open-minded exploration and courageous thinking, and upholds freedom of expression.
Ohio State is a dynamic community where opportunity thrives, and individuals transform themselves and their world. Positions are available in countless fields and specialties. Become a Buckeye and contribute to an incredible legacy that serves to guide our future and shape a better tomorrow.
The Ohio State University is committed to enhancing academic excellence. Recruiting, supporting, and retaining faculty of the highest caliber is a core component of this commitment. The Office of Academic Affairs (OAA) has established central resources to focus on offering support to new and prospective faculty and their loved ones. Service offerings include dual career partner consultation, potential employer and/or employment opportunity identification, consultation and resources related to relocation, as well as identifying opportunities to engage on campus and in the surrounding community. While employment opportunities are not guaranteed, resources and consultation are available. More information about dual career and faculty recruitment can be found here.
In addition to being responsive to dual-career opportunities, we strongly promote work-life balance to support our community members through a suite of institutionalized policies. Ohio State is a member of the Michigan, Ohio, Western Pennsylvania & West Virginia HERC.
Located in Ohio’s capital city, Ohio State’s Columbus campus is near the center of a rapidly growing and vibrant metropolitan area with a population of over 1.5 million. The area offers a wide range of affordable housing, many cultural and recreational opportunities, excellent schools, and a strong economy based on government as well as service, transportation, and technology industries. Additional information about the Columbus area is available here. Beyond its Columbus campus, Ohio State has four regional campuses including Ohio State Lima, Ohio State Mansfield, Ohio State Marion, and Ohio State Newark, in addition to the College of Food, Agricultural, and Environmental Sciences (CFAES) Wooster Campus, which houses Ohio State ATI.
The university is an equal opportunity employer, including veterans and disability.
Final candidates are subject to successful completion of a background check. Additionally, there may be further requirements specific to the college or unit, which could include drug and health screenings, as well as faculty misconduct checks depending on the rank of the position.
Location:
Sisson Hall (0080)
Position Type:
Regular
Scheduled Hours:
40
Shift:
First Shift
The Ohio State University believes in diversity in people and ideas. What Ohio State does matters. And how we do it matters. When we are at our best, we make a real difference to people. Our size, breadth, geography, history and standard of excellence position us to drive the future of higher education. We believe that the university should be a place where people can work and learn together in a safe environment, free of violence, harassment, discrimination, exploitation, or intimidation. As such, finalists for any faculty position that carries tenure must sign an authorization and disclosure form, which will allow current or prior employer(s) to share information to the University regarding any findings of employment-related misconduct or disciplinary proceedings against a candidate and/or any pending investigations related to alleged misconduct. Such information shall include findings and pending investigations with respect to sexual harassment, violence, or harassment; research misconduct; financial fraud or misconduct; foreign influence violations, grant misuse or misconduct; and/or any other type of finding or pending investigation relating to a candidate’s employer’s policies and rules governing faculty conduct that may reasonably be expected to affect a candidate’s appointment. If the University becomes aware of any past finding of misconduct or pending investigations that were not disclosed, Ohio State will treat that as a serious omission and reserves the right to rescind an offer or terminate employment.
Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.
Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions.
The university is an equal opportunity employer, including veterans and disability.
Machine Learning Job Roles in Ohio
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Search Machine Learning Jobs in OhioMachine Learning Jobs in Ohio: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Ohio?
Several large Ohio employers have established H-1B sponsorship histories for machine learning roles. JPMorgan Chase and Nationwide Insurance in Columbus, Cleveland Clinic and Progressive Insurance in Northeast Ohio, and Procter and Gamble in Cincinnati have all filed H-1B petitions for data science and machine learning positions. Ohio's concentration of Fortune 500 companies and major healthcare systems makes it a more active sponsorship market than many comparable states.
Which visa types are most common for machine learning jobs in Ohio?
The H-1B is the most common visa for machine learning roles in Ohio, as these positions typically qualify as specialty occupations requiring a bachelor's degree or higher in computer science, statistics, or a related field. Candidates with a master's or PhD may also have access to the H-1B advanced degree exemption. International students completing degrees at Ohio State or Case Western Reserve often transition from OPT or STEM OPT while pursuing H-1B sponsorship.
Which cities in Ohio have the most machine learning sponsorship jobs?
Columbus is Ohio's primary hub for machine learning sponsorship, driven by its concentration of financial services firms, insurance companies, and a growing tech sector. Cleveland follows, with demand concentrated in healthcare AI at institutions like Cleveland Clinic and University Hospitals. Cincinnati sees activity from consumer goods and logistics companies. Columbus also benefits from proximity to Ohio State University, which supplies a consistent pipeline of machine learning talent.
How to find machine learning visa sponsorship jobs in Ohio?
Migrate Mate is built specifically for international candidates searching for visa-sponsored roles. You can filter by state and job category to surface machine learning positions in Ohio from employers with active sponsorship histories. This is more targeted than general job searches because Migrate Mate focuses on roles where sponsorship is a stated or demonstrated employer practice, saving you time screening out positions that won't support visa candidates.
Are there any Ohio-specific considerations for machine learning visa sponsorship candidates?
Ohio's lower cost of living compared to coastal tech markets means prevailing wage requirements for machine learning roles are generally set at levels that reflect the regional labor market, which can make Ohio employers more competitive on compensation relative to visa costs. Ohio State University, Case Western Reserve, and the University of Cincinnati produce graduate-level machine learning talent that employers actively recruit, creating established pipelines that some companies have built their sponsorship programs around.
What is the prevailing wage for sponsored machine learning jobs in Ohio?
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.