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Internship Machine Learning Jobs in Tennessee (NOW HIRING)

We are a global leader in human resources technology, offering the latest AI and machine learning ... One to two years of prior work experience or internships in Retail, Marketing, Business Development ...

We are a global leader in human resources technology, offering the latest AI and machine learning ... One to two years of prior work experience or internships in Retail, Marketing, Business Development ...

This internship is designed for someone at the beginning of their engineering career who wants to ... This is an excellent opportunity to apply classroom learning in a plant setting, strengthen your ...

This internship is designed for someone at the beginning of their engineering career who wants to ... This is an excellent opportunity to apply classroom learning in a plant setting, strengthen your ...

This internship is designed for someone at the beginning of their engineering career who wants to ... This is an excellent opportunity to apply classroom learning in a plant setting, strengthen your ...

Patient Care Specialist

Clarksville, TN · On-site

$15.75 - $20/hr

... learning, training, and language courses * A "you" culture where everyone-from interns to ... fax machines. The employee is regularly required to talk or hear. The employee frequently is ...

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Internship Machine Learning information

See Tennessee salary details

$23.1K

$38.6K

$79.9K

How much do internship machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for internship machine learning in Tennessee is $38,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,500.00 and $41,800.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning vs Data Science Intern?

AspectInternship Machine LearningData Science Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, programming, data analysis basics
Work EnvironmentHands-on ML model development, codingData analysis, visualization, reporting
Industry UsageTech, AI companies, research labsBusiness, finance, healthcare sectors

Internship Machine Learning focuses on developing and implementing machine learning models, requiring programming and ML fundamentals. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. Both roles are common in tech and research industries, but ML internships are more specialized in model building, while Data Science internships emphasize data analysis and visualization.

What are the key skills and qualifications needed to thrive as an Internship Machine Learning, and why are they important?

To thrive as a Machine Learning Intern, you generally need a solid grounding in mathematics, programming (especially Python), and familiarity with machine learning concepts, often supported by coursework or relevant projects. Experience with tools and libraries like TensorFlow, scikit-learn, and Jupyter Notebooks, as well as knowledge of version control systems like Git, is typically expected. Strong problem-solving skills, willingness to learn, and effective communication set outstanding interns apart. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly, and collaborate well within technical teams.

What are internship machine learning positions?

Internship machine learning positions are temporary roles for students or recent graduates to gain hands-on experience in the field of machine learning. Interns typically work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced professionals. These internships provide valuable exposure to machine learning tools, programming languages such as Python, and industry best practices. They are an excellent way to build technical skills, enhance your resume, and explore career opportunities in artificial intelligence and data science.

What types of projects can I expect to work on during a Machine Learning internship?

As a Machine Learning intern, you may work on a variety of projects such as data preprocessing and cleaning, developing and testing machine learning models, or assisting with research experiments. These projects often involve collaborating closely with data scientists and engineers, learning to use popular frameworks like TensorFlow or PyTorch, and presenting your findings to the team. The scope and complexity of your assignments will typically grow as you demonstrate proficiency and initiative, providing valuable real-world experience and networking opportunities.
What are the most commonly searched types of Machine Learning jobs in Tennessee? The most popular types of Machine Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Internship Machine Learning jobs? Cities in Tennessee with the most Internship Machine Learning job openings:
Faculty - Technologies (Artificial Intelligence)

Faculty - Technologies (Artificial Intelligence)

Tennessee Board of Regents

Memphis, TN • On-site

Other

Posted 6 days ago


Job description

Faculty - Technologies (Artificial Intelligence)

Apply now Job no: 504112
Work type: Faculty - 9/10 Month
Location: Memphis
Categories: Faculty

Southwest Tennessee Community College is a comprehensive, multicultural, public, open-access college. Southwest has four campuses/centers from which it offers over 100 programs and over 20 technical certificate programs.

We foster student success, transform lives, and increase the educational level of a growing community in Shelby County. Southwest is a Tennessee Board of Regents institution, accredited by the Commission on Colleges of the Southern Association of Colleges and Schools.

We invite you to become a part of the Southwest Team!

Title: Faculty - Technologies (Artificial Intelligence)

Employee Classification: Faculty

Institution: Southwest Tennessee Community College

Department: Technologies

Campus Location: SWTCC - Multiple Campus Locations

Job Summary

Southwest Tennessee Community College is in the process of developing and launching a new Artificial Intelligence Technology program. As a result, this position will play an important role in supporting early-stage curriculum development, program planning, and implementation, in addition to teaching responsibilities.
This is a full-time academic-year (9-month) appointment faculty position reporting to the Department Chair of Technologies. The faculty member is responsible for the coordination, planning, preparation, presentation, and evaluation of classroom instruction and related academic activities in the assigned discipline. Teaching responsibilities include foundational and advanced Artificial Intelligence topics such as Python programming, data analysis, machine learning, artificial intelligence tools and frameworks, neural networks, and ethical considerations in AI.
Primary responsibilities include instruction, instructional counseling, academic advising, curriculum development, student assessment, and participation in Continuous Quality Improvement (CQI) activities. The faculty member plays a key role in shaping and maintaining the Artificial Intelligence curriculum and integrating hands-on, applied learning experiences into the program.
The faculty member is expected to perform assigned duties during the day, evening, or weekend on any Southwest Tennessee Community College campus, as assigned. At a minimum, related faculty responsibilities include instruction, academic advising and mentoring, serving on departmental and college committees, and participating in local, state, regional, and national professional activities and organizations.
In addition to standard faculty responsibilities, this position includes assigned program coordination duties for the Artificial Intelligence Technology program as part of the faculty teaching load.

Job Duties

  • Prepare and deliver instruction in Artificial Intelligence Technology courses, including foundational and advanced topics such as Python programming, data analysis, machine learning, neural networks, generative AI tools, and ethical and responsible use of artificial intelligence.
  • Teach courses using a variety of instructional delivery methods, including face-to-face, online, hybrid, and HyFlex formats.
  • Develop and maintain course syllabi, instructional materials, laboratory exercises, assignments, and assessments aligned with course and program learning outcomes.
  • Incorporate hands-on, applied, and project-based learning experiences using current AI tools and platforms.
  • Compile, administer, evaluate, and grade student coursework, laboratory work, assignments, tests, and projects in a fair and consistent manner.
  • Maintain accurate attendance records, grades, and required academic documentation in compliance with FERPA.
  • Maintain scheduled office hours and provide instructional counseling, academic advising, and tutoring support to students.
  • Participate in course- and program-level assessment and Continuous Quality Improvement (CQI) activities.

Program Coordination Functions(Assigned as Part of Faculty Teaching Load)

  • Serve as Program Coordinator for the Artificial Intelligence Technology program.
  • Support the coordination, review, and continuous improvement of AI-related curricula, certificates, and degree pathways in collaboration with the Department Chair and Technologies faculty.
  • Coordinate program-level assessment activities and maintain required curriculum and assessment documentation in accordance with college and accreditation standards.
  • Support Artificial Intelligence advisory board activities, including meeting coordination, agenda development, and incorporation of industry feedback into program planning.
  • Collaborate with internal and external partners to support workforce alignment, experiential learning opportunities, internships, and program outreach.
  • Assist with program promotion, recruitment, and enrollment initiatives related to Artificial Intelligence Technology.
  • Collaborate with the Department Chair on program planning, scheduling, and continuous improvement efforts.

Institutional Service and Professional Development

  • Serve on departmental and college committees as assigned.
  • Participate in faculty meetings, college assemblies, professional development, and orientation activities.
  • Participate in local, state, regional, and national professional organizations related to artificial intelligence, computing, and emerging technologies.
  • Maintain professional knowledge and skills to remain current in the discipline and effective teaching practices.
  • Perform other job-related duties as assigned by the Department Chair or Dean.

Minimum Qualifications

  • Bachelor's degree in computer engineering, computer science, computer information systems, information technology, software engineering, or a closely related field
    OR
    Associate degree in a related field with demonstrated competencies in Artificial Intelligence and computing disciplines.
  • Demonstrated competency in artificial intelligence, programming, or data-driven technologies.
  • Proficiency in reading, writing, and explaining code (Python preferred).
  • A minimum of three (3) years of relevant industry or field experience preferred.
  • Teaching experience at the college or university level is preferred.
  • Ability to teach and support an ever-growing student population.
  • Successful completion of a background check.

Knowledge, Skills, and Abilities

  • Knowledge of artificial intelligence concepts, tools, and applications.
  • Knowledge of ethical and responsible AI practices.
  • Skill in selecting and applying instructional strategies appropriate for technical and adult learners.
  • Ability to design and assess applied, hands-on learning experiences.
  • Strong communication, organization, and collaboration skills.
  • Knowledge of curriculum development, program assessment, and Continuous Quality Improvement processes.
  • Ability to work effectively with students, faculty, staff, and industry partners.

The intent of this job description is to provide a representation of the types of duties and responsibilities that will be required of positions given this title and shall not be construed as a declaration of the total specific duties and responsibilities of any particular position. Employees may be directed to perform job-related tasks other than those specifically presented in this description.

Candidates who are called for an interview must notify Human Resources in writing at least five (5) days in advance of any reasonable accommodation needed prior to the date of the interview.

First consideration will be given to current Southwest Tennessee Community College employees who meet the minimum qualifications for the position.

In order to be considered for the position, the following items must be uploaded:

  • Resume
  • Cover letter
  • Unofficial Transcripts

A summary of our benefits can be found below: 

https://www.southwest.tn.edu/hr/benefits-overview.php

Incomplete applications will not be considered.

The TBR does not discriminate on the basis of race, color, religion, creed, ethnicity, or national origin, sex, disability, age, status as a protected veteran or any other class protected by Federal or State laws and regulations and by Tennessee Board of Regents policies with respect to employment, programs, and activities. 

The following person has been designated to handle inquiries regarding nondiscrimination policies:  LeVetta Hudson, Vice President of People & Culture, myhr@southwest.tn.edu, 737 Union Ave, Memphis, TN 38103, 901-333-5000. See the full non-discrimination policy.

Advertised: 01 May 2026 Central Daylight Time
Applications close:

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