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Machine Learning Winter Internship Jobs in Tennessee

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 ...

Tax Senior Associate

Knoxville, TN

$77K - $96K/yr

... and interns' tax returns, providing constructive feedback to ensure quality and support growth ... Paid holidays, including a firmwide winter break (December 24 - January 1) * Paid parental leave ...

Our careers are filled with purpose and encourage learning, growth, and meaningful impact. Apply ... Polishes silver using burnishing machine tumbler, chemical dip, buffing wheel and hand cloth ...

DISHWASHER

Memphis, TN · On-site

$15.50/hr

Our careers are filled with purpose and encourage learning, growth, and meaningful impact. Apply ... Polishes silver using burnishing machine tumbler, chemical dip, buffing wheel and hand cloth ...

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Machine Learning Winter Internship information

What types of projects and tasks can I expect to work on during a Machine Learning Winter Internship?

During a Machine Learning Winter Internship, you can expect to work on hands-on projects such as data preprocessing, building and evaluating machine learning models, and assisting with research experiments. Interns often contribute to real-world applications, such as developing predictive analytics tools, optimizing algorithms, or supporting deployment efforts. Collaboration is common, as you'll work closely with data scientists, engineers, and sometimes product teams, giving you exposure to the full machine learning workflow. This environment provides an excellent opportunity to apply theoretical knowledge, gain practical experience, and build a professional network in the field.

What is a Machine Learning Winter Internship?

A Machine Learning Winter Internship is a short-term, practical training program typically offered during the winter months for students or early-career professionals interested in machine learning. Interns work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced mentors. The internship provides hands-on experience with tools and techniques used in the field, helping participants build technical skills and gain industry exposure. These positions are often offered by tech companies, research labs, or startups and can be either remote or onsite. Successful completion of a machine learning internship can enhance a candidate's resume and open up further career opportunities in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive as a Machine Learning Winter Intern, and why are they important?

To thrive as a Machine Learning Winter Intern, you generally need a solid foundation in mathematics, programming (especially Python), and a basic understanding of machine learning concepts, often acquired through coursework or relevant projects. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries like Pandas and NumPy is typically required. Strong problem-solving abilities, collaboration, and curiosity help interns stand out in team-based, fast-paced environments. These skills are crucial for effectively contributing to real-world projects and quickly learning from experienced professionals during the internship.

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

AspectMachine Learning Winter InternshipData Science Winter Internship
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some knowledge of ML frameworksUndergraduate or graduate in Statistics, Math, CS; familiarity with data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsData analysis, visualization, and interpretation in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, consulting

While both internships involve working with data, the Machine Learning Winter Internship emphasizes developing and applying ML algorithms, whereas the Data Science Winter Internship focuses on analyzing data, creating reports, and deriving insights. Candidates should choose based on their specific skills and career goals in AI or data analysis.

What job categories do people searching Machine Learning Winter Internship jobs in Tennessee look for? The top searched job categories for Machine Learning Winter Internship jobs in Tennessee are:
What cities in Tennessee are hiring for Machine Learning Winter Internship jobs? Cities in Tennessee with the most Machine Learning Winter Internship job openings:
Faculty - Technologies (Artificial Intelligence)

Faculty - Technologies (Artificial Intelligence)

Tennessee Board of Regents

Memphis, TN

Other

Re-posted 12 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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