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Internship Graduate Machine Learning Jobs in North Carolina

Varsity Tutors

Statistics Graduate Level Tutor

Durham, NC · Remote

$18 - $40/hr

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... graduate statistics curricula and common challenges such as understanding measure-theoretic ...

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

Our courses attract undergraduates, graduate students, faculty and staff from across the university ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

Our courses attract undergraduates, graduate students, faculty and staff from across the university ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

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Internship Graduate Machine Learning information

What is an internship graduate machine learning?

Internship Graduate Machine Learning positions are entry-level roles designed for recent graduates or students who have completed coursework in machine learning, data science, or related fields. These internships provide hands-on experience working with real-world data, building and testing machine learning models, and collaborating with experienced professionals. Interns gain exposure to industry-standard tools and techniques, helping them bridge the gap between academic learning and practical application. Such positions are valuable for building a portfolio, networking, and enhancing job prospects in the rapidly growing field of artificial intelligence.

What types of projects do internship graduate machine learning roles typically involve, and how are responsibilities structured within the team?

Internship Graduate Machine Learning roles often focus on supporting ongoing research or development projects, such as building predictive models, cleaning and analyzing data, or prototyping algorithms. Interns usually collaborate closely with data scientists and engineers, contributing to specific project milestones while learning best practices in model development and deployment. Responsibilities are often structured to allow for mentorship and feedback, with interns participating in regular team meetings, code reviews, and brainstorming sessions. This collaborative environment provides valuable exposure to real-world machine learning workflows and helps interns build both technical and soft skills relevant to the field.

What are the key skills and qualifications needed to thrive as an internship graduate machine learning, and why are they important?

To thrive as an Internship Graduate in Machine Learning, you typically need a strong background in mathematics, programming (especially Python), and familiarity with algorithms and data structures, often supported by coursework or a degree in computer science, statistics, or a related field. Hands-on experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of tools such as Jupyter Notebooks and version control systems like Git, are highly valued. Curiosity, problem-solving, teamwork, and effective communication are crucial soft skills to excel in collaborative and innovative environments. These competencies enable interns to contribute to real-world projects, adapt to fast-changing technologies, and communicate findings clearly within interdisciplinary teams.

What is the difference between Internship Graduate Machine Learning vs Data Analyst?

AspectInternship Graduate Machine LearningData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; basic knowledge of programming and statisticsDegree in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, research labs, startups; project-based, collaborative teamsBusiness, finance, marketing sectors; focus on reporting and data interpretation
Employer & Industry UsageUsed in tech, AI, and research industries for developing machine learning modelsCommon in corporate, finance, and consulting firms for data-driven decision making

While both roles involve working with data, an Internship Graduate Machine Learning focuses on developing algorithms and models using programming skills, often in tech environments. In contrast, a Data Analyst emphasizes interpreting data, creating reports, and supporting business decisions. The roles overlap in data handling but differ in technical depth and application focus.

What are the most commonly searched types of Graduate Machine Learning jobs in North Carolina?

The most popular types of Graduate Machine Learning jobs in North Carolina are:

Internship Graduate Machine Learning jobs near you

Assistant Professor: Digital Technology, Machine Learning and AI in Agriculture Communications an...

NCSU

Raleigh, NC

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

North Carolina State University rating

6.8

Company rating: 6.8 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

461st of 621 rated colleges and universities

Job description

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.
Other Responsibilities
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.

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About North Carolina State University

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North Carolina State University (NCSU), located in Raleigh, NC, US, is a leading educational institution with a strong emphasis on research, academics, and public service. Established in 1887, NCSU operates in the education industry and endeavors to foster student success, and promote economic development by providing high-quality, affordable education, and conducting groundbreaking research across a variety of disciplines. With more than 100 majors, its academic offerings range from undergraduates to postgraduates along with doctoral studies - in various fields like engineering, natural resources, humanities, and social sciences. NCSU is firmly anchored on the core values of respect, responsibility, integrity, and innovation. Its mission is to create economic, societal, and intellectual prosperity for the people of North Carolina and the nation.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Raleigh, NC, US

Year founded

1887

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