TN Visa Machine Learning Manager Jobs
Machine Learning Manager roles qualify for TN visa sponsorship under USMCA's Computer Systems Analyst category, provided your job duties center on systems design and analysis rather than pure research. Canadian citizens can apply at the border; Mexican citizens go through consular processing. Employers file no lottery petition, making offers faster to execute than H-1B visa.
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Posting Number PG194658EP
Internal Recruitment No
Working Title Assistant Professor: Digital Technology, Machine Learning and AI in Agriculture Communications and Education
Anticipated Hiring Range Commensurate with Experience ($92,500 – $105,000)
Work Schedule Monday-Friday, 8AM-5PM
Job Location Raleigh, NC
Department Agricultural and Human Sciences
About the Department
The College of Agriculture and Life Sciences (CALS) fulfills the land-grant mission by preparing students to thrive in a global marketplace, pursue cutting-edge research, and put those results to work across North Carolina and beyond. The college is a connected community of 3,600 undergraduate, graduate, and Agricultural Institute students, 345 tenure-track and professional faculty, 100 postdocs, 898 staff, and 598 county operations employees.
Academic programs span 17 undergraduate majors, 21 undergraduate minors, 12 undergraduate certificates, and 11 graduate certificates in 12 academic departments. The college offers 19 bachelor’s degrees, 91 master’s degrees, and 45 doctoral degrees. The Agricultural Institute is the college’s two-year program offering six associate of applied science degrees.
The college brings together the brightest minds in academia, government, and industry to drive the vital research and innovation necessary to tackle agriculture and life sciences challenges. Award-winning researchers in the college are conducting bold, interdisciplinary research at the N.C. Plant Sciences Initiative, Plants for Human Health Institute, Center for Marine Sciences and Technology, the North Carolina Food Innovation Lab, four University Field Labs, and over 30 facilities on-campus and off-campus. In partnership with the North Carolina Department of Agriculture and Consumer Services, the college operates 18 agricultural research stations to test research in real-world scenarios under natural conditions. Transforming science into solutions is at the heart of NC State Extension, housed in the college. NC State Extension is present in every county of the state, with 1,100 experts and a network of partnerships to extend the knowledge from our faculty to farmers, families, and citizens. It delivers more than 17,000 educational activities statewide via nearly 8,000 programs.
Wolfpack Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. As you consider this opportunity, we encourage you to review our Employee Value Proposition and learn more about what makes NC State the best place to learn and work for everyone.
What we offer:
Medical, Dental, and Vision
Flexible Spending Account
Retirement Programs
Disability Plans
Life Insurance
Accident Plan
Paid Time Off and Other Leave Programs
12 Holidays Each Year
Tuition and Academic Assistance
And so much more!
Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.
Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Essential Job Duties
We are seeking candidates that will help define what’s next for agricultural education and communication. This tenure-track faculty position within the College of Agriculture and Life Sciences at North Carolina State University is an opportunity to build and lead a nationally recognized program exploring how artificial intelligence and machine learning can transform the way students learn, educators teach, and agricultural communities access knowledge. Through research, Extension, and teaching, this role will shape innovative approaches that strengthen learning experiences and advance agricultural and food systems education for the future.
In this role, you will get to explore emerging technologies in ways that create meaningful, real-world impact. You will collaborate with interdisciplinary faculty across the CALS Applied AI Cluster, develop innovative research and Extension initiatives, and help shape how AI and machine learning are integrated into agricultural education, communication, and outreach. From designing personalized learning experiences to supporting producers, educators, and stakeholders through technology-driven solutions, your work will influence both the future of education and the future of agriculture. You will also have the flexibility to pursue bold ideas, build collaborative partnerships, mentor students, and create programs that extend beyond the classroom into communities across North Carolina and beyond.
Key Responsibilities:
Establish and lead a forward-thinking research program exploring the use of AI and ML in agricultural and Extension education, including areas such as personalized learning, predictive analytics, adaptive assessments, virtual assistants, and emerging educational technologies.
Develop innovative approaches that enhance communication and learning outcomes for students, agricultural professionals, producers, and community stakeholders.
Design and deliver impactful Extension programming that helps agricultural and food systems organizations understand, adopt, and apply AI-driven technologies and tools.
Create hands-on workshops, trainings, and educational resources focused on topics such as data-informed decision making, AI applications in agriculture, and technology integration strategies.
Collaborate with interdisciplinary faculty, research centers, strategic initiatives, and external partners to advance applied AI efforts across agriculture and life sciences.
Develop technology-enhanced teaching and learning experiences that prepare future educators, Extension professionals, and agricultural leaders to effectively integrate emerging technologies into their work.
Teach and contribute to undergraduate and graduate programs related to agricultural and Extension education, communication, and technology applications.
Mentor and advise graduate students while supporting student research, innovation, and professional development.
Conduct scholarly and translational research that bridges theory, practice, and community impact across teaching, Extension, and applied research initiatives.
Secure external funding and build partnerships that expand the reach and impact of AI and ML initiatives within agriculture and food systems.
Contribute to departmental, college, university, and professional service activities that support the broader mission of CALS and the agricultural community.
This 12-month appointment includes responsibilities across Research (50%), Extension (30%), and Teaching (20%).
If you are excited to push boundaries, translate emerging technologies into meaningful practice, and help shape the future of agricultural education and outreach, we encourage you to apply.
Qualifications
Minimum Education and Experience
Earned a Doctorate degree in Education, STEM Education, Agricultural Education, or a closely related field. All degrees must be received from appropriately accredited institutions.
Other Required Qualifications
Experience working in the discipline of machine learning (ML), artificial intelligence (AI), and technology as it applies to STEM education.
Effective oral and written communication skills for graduate students and lay and professional audiences.
Evidence of excellent interpersonal skills, team building, problem-solving ability, networking skills, and ability to work with interdisciplinary groups.
Demonstrated grant writing skills and familiarity with electronic media and distance education.
Preferred Qualifications
* Minimum of 3 years of successful professional experience and demonstration of an understanding of the land grant university mission.
Required License(s) or Certification(s)
* A valid NC Driver’s License and the ability to obtain an NC Driver’s License within 60 days of hire and must be maintained throughout employment.
Valid NC Driver's License required Yes
Commercial Driver's License required No
Recruitment Dates and Special Instructions
Job Open Date 06/02/2026
Anticipated Close Date 6/29/2026; if posting is active, we are still reviewing and accepting applications.
Special Instructions to Applicants
Review of applications will begin July 1, 2026.
Please attach a Cover Letter, resume/CV, and contact information for three (3) professional references. Please make sure that the information entered on the application matches what is on your resume.
Position Details
Position Number 00112067
Position Type Tenured/Tenure-Track Faculty
Full Time Equivalent (FTE) (1.0 = 40 hours/week) 1.00
Appointment 12 Month Recurring
Mandatory Designation - Adverse Weather Non Mandatory - Adverse Weather
Mandatory Designation - Emergency Events Mandatory - Medical Emergencies
Department ID 111401 - Agricultural and Human Sciences
EEO
NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
Posting Information
Posting Number PG194658EP
Internal Recruitment No
Working Title Assistant Professor: Digital Technology, Machine Learning and AI in Agriculture Communications and Education
Anticipated Hiring Range Commensurate with Experience ($92,500 – $105,000)
Work Schedule Monday-Friday, 8AM-5PM
Job Location Raleigh, NC
Department Agricultural and Human Sciences
About the Department
The College of Agriculture and Life Sciences (CALS) fulfills the land-grant mission by preparing students to thrive in a global marketplace, pursue cutting-edge research, and put those results to work across North Carolina and beyond. The college is a connected community of 3,600 undergraduate, graduate, and Agricultural Institute students, 345 tenure-track and professional faculty, 100 postdocs, 898 staff, and 598 county operations employees.
Academic programs span 17 undergraduate majors, 21 undergraduate minors, 12 undergraduate certificates, and 11 graduate certificates in 12 academic departments. The college offers 19 bachelor’s degrees, 91 master’s degrees, and 45 doctoral degrees. The Agricultural Institute is the college’s two-year program offering six associate of applied science degrees.
The college brings together the brightest minds in academia, government, and industry to drive the vital research and innovation necessary to tackle agriculture and life sciences challenges. Award-winning researchers in the college are conducting bold, interdisciplinary research at the N.C. Plant Sciences Initiative, Plants for Human Health Institute, Center for Marine Sciences and Technology, the North Carolina Food Innovation Lab, four University Field Labs, and over 30 facilities on-campus and off-campus. In partnership with the North Carolina Department of Agriculture and Consumer Services, the college operates 18 agricultural research stations to test research in real-world scenarios under natural conditions. Transforming science into solutions is at the heart of NC State Extension, housed in the college. NC State Extension is present in every county of the state, with 1,100 experts and a network of partnerships to extend the knowledge from our faculty to farmers, families, and citizens. It delivers more than 17,000 educational activities statewide via nearly 8,000 programs.
Wolfpack Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. As you consider this opportunity, we encourage you to review our Employee Value Proposition and learn more about what makes NC State the best place to learn and work for everyone.
What we offer:
Medical, Dental, and Vision
Flexible Spending Account
Retirement Programs
Disability Plans
Life Insurance
Accident Plan
Paid Time Off and Other Leave Programs
12 Holidays Each Year
Tuition and Academic Assistance
And so much more!
Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.
Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Essential Job Duties
We are seeking candidates that will help define what’s next for agricultural education and communication. This tenure-track faculty position within the College of Agriculture and Life Sciences at North Carolina State University is an opportunity to build and lead a nationally recognized program exploring how artificial intelligence and machine learning can transform the way students learn, educators teach, and agricultural communities access knowledge. Through research, Extension, and teaching, this role will shape innovative approaches that strengthen learning experiences and advance agricultural and food systems education for the future.
In this role, you will get to explore emerging technologies in ways that create meaningful, real-world impact. You will collaborate with interdisciplinary faculty across the CALS Applied AI Cluster, develop innovative research and Extension initiatives, and help shape how AI and machine learning are integrated into agricultural education, communication, and outreach. From designing personalized learning experiences to supporting producers, educators, and stakeholders through technology-driven solutions, your work will influence both the future of education and the future of agriculture. You will also have the flexibility to pursue bold ideas, build collaborative partnerships, mentor students, and create programs that extend beyond the classroom into communities across North Carolina and beyond.
Key Responsibilities:
Establish and lead a forward-thinking research program exploring the use of AI and ML in agricultural and Extension education, including areas such as personalized learning, predictive analytics, adaptive assessments, virtual assistants, and emerging educational technologies.
Develop innovative approaches that enhance communication and learning outcomes for students, agricultural professionals, producers, and community stakeholders.
Design and deliver impactful Extension programming that helps agricultural and food systems organizations understand, adopt, and apply AI-driven technologies and tools.
Create hands-on workshops, trainings, and educational resources focused on topics such as data-informed decision making, AI applications in agriculture, and technology integration strategies.
Collaborate with interdisciplinary faculty, research centers, strategic initiatives, and external partners to advance applied AI efforts across agriculture and life sciences.
Develop technology-enhanced teaching and learning experiences that prepare future educators, Extension professionals, and agricultural leaders to effectively integrate emerging technologies into their work.
Teach and contribute to undergraduate and graduate programs related to agricultural and Extension education, communication, and technology applications.
Mentor and advise graduate students while supporting student research, innovation, and professional development.
Conduct scholarly and translational research that bridges theory, practice, and community impact across teaching, Extension, and applied research initiatives.
Secure external funding and build partnerships that expand the reach and impact of AI and ML initiatives within agriculture and food systems.
Contribute to departmental, college, university, and professional service activities that support the broader mission of CALS and the agricultural community.
This 12-month appointment includes responsibilities across Research (50%), Extension (30%), and Teaching (20%).
If you are excited to push boundaries, translate emerging technologies into meaningful practice, and help shape the future of agricultural education and outreach, we encourage you to apply.
Qualifications
Minimum Education and Experience
Earned a Doctorate degree in Education, STEM Education, Agricultural Education, or a closely related field. All degrees must be received from appropriately accredited institutions.
Other Required Qualifications
Experience working in the discipline of machine learning (ML), artificial intelligence (AI), and technology as it applies to STEM education.
Effective oral and written communication skills for graduate students and lay and professional audiences.
Evidence of excellent interpersonal skills, team building, problem-solving ability, networking skills, and ability to work with interdisciplinary groups.
Demonstrated grant writing skills and familiarity with electronic media and distance education.
Preferred Qualifications
* Minimum of 3 years of successful professional experience and demonstration of an understanding of the land grant university mission.
Required License(s) or Certification(s)
* A valid NC Driver’s License and the ability to obtain an NC Driver’s License within 60 days of hire and must be maintained throughout employment.
Valid NC Driver's License required Yes
Commercial Driver's License required No
Recruitment Dates and Special Instructions
Job Open Date 06/02/2026
Anticipated Close Date 6/29/2026; if posting is active, we are still reviewing and accepting applications.
Special Instructions to Applicants
Review of applications will begin July 1, 2026.
Please attach a Cover Letter, resume/CV, and contact information for three (3) professional references. Please make sure that the information entered on the application matches what is on your resume.
Position Details
Position Number 00112067
Position Type Tenured/Tenure-Track Faculty
Full Time Equivalent (FTE) (1.0 = 40 hours/week) 1.00
Appointment 12 Month Recurring
Mandatory Designation - Adverse Weather Non Mandatory - Adverse Weather
Mandatory Designation - Emergency Events Mandatory - Medical Emergencies
Department ID 111401 - Agricultural and Human Sciences
EEO
NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
See all 56+ TN Visa Machine Learning Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new TN Visa Machine Learning Manager Jobs.
Get Access To All JobsTips for Finding TN Visa Sponsorship as a Machine Learning Manager
Frame your credentials around systems analysis
TN visa classification for ML Manager roles hinges on Computer Systems Analyst duties, not research. Your resume and support letter must emphasize system design, integration, and deployment work over academic or experimental ML activities.
Verify your degree maps to the category
CBP officers scrutinize whether your computer science, engineering, or applied math degree aligns with the Computer Systems Analyst classification. A degree in an unrelated field without clear course equivalency creates denial risk at the port of entry.
Target employers with active USMCA filing history
Prioritize companies with recent visa filing experience. Employers who have sponsored work visas before typically have streamlined internal processes and understand visa sponsorship requirements, so they're less likely to delay your offer due to legal review complications.
Get your job offer letter TN-specific before crossing
Canadian citizens present their TN package directly to CBP at the border, so your employer's support letter must name the USMCA category, describe qualifying duties, and state the employment period. A vague letter causes on-the-spot denial with no appeal.
Search for TN-ready ML Manager roles using Migrate Mate
Filter specifically for Machine Learning Manager positions where employers have indicated TN visa sponsorship. Migrate Mate surfaces roles by visa type so you're not cold-applying to companies unfamiliar with USMCA professional classifications.
Plan Mexican consular processing timelines into your start date
Mexican nationals must schedule a consular interview, which adds weeks to your timeline. Build at least 60 days between your signed offer and your target start date to account for appointment availability and document preparation.
Machine Learning Manager TN Visa: Frequently Asked Questions
Does a Machine Learning Manager role qualify for TN visa status?
Yes, if your duties align with the Computer Systems Analyst classification under USMCA. CBP evaluates the actual job responsibilities, not the title. Your role must center on designing, analyzing, and deploying ML systems rather than conducting independent research. Pure research roles are more likely to face scrutiny or denial at the port of entry.
How does TN visa sponsorship compare to H-1B for this role?
TN has no annual lottery, no cap for Canadians, and no multi-month USCIS adjudication wait. H-1B requires registration in March, lottery selection, and a lengthy petition process before you can start. For a qualified Canadian ML Manager, TN sponsorship can result in approval the same day you present at the border, making it dramatically faster to execute.
What documents does my employer need to prepare for my TN application?
Your employer must provide a detailed support letter on company letterhead stating your job title, USMCA classification, a description of qualifying duties, your salary, and the length of employment. Canadian applicants present this letter directly to CBP. Mexican nationals submit it as part of their DS-160 consular package. The letter is the centerpiece of your application and must be role-specific.
Where can I find Machine Learning Manager jobs that already offer TN visa sponsorship?
Migrate Mate lets you search specifically for Machine Learning Manager positions where employers have confirmed TN visa sponsorship. This avoids the common problem of applying to roles where the hiring team is unfamiliar with USMCA classifications and stalls or withdraws offers once the visa process starts.
Can I switch employers or get promoted while on TN status as an ML Manager?
Changing employers requires a new TN application tied to the new company. Canadians can handle this at a port of entry, but any gap in employment or a role change that shifts your duties outside the Computer Systems Analyst classification creates exposure. A promotion within the same employer that significantly changes your responsibilities should be reviewed to confirm it still supports your TN category.