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Embedded Machine Learning Internship Jobs in Tennessee

Senior AI Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning ...

$61K - $85K/yr

Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect ... machine learning capabilities. Works in partnership with team members to solve complex problems ...

$86K - $129K/yr

Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect ... machine learning capabilities. Works in partnership with, and provides guidance to, team members ...

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Build Gold layer aggregations and enriched datasets that support ML scoring models and embedded analytics reporting. * Maintain Feature Store pipelines that produce machine learning-ready feature ...

... machine learning systems. Experience with API security testing, authentication and authorization testing, and OWASP Top 10 vulnerabilities. Experience with hardware, embedded systems, kiosks, ATMs ...

$70K - $105K/yr

Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect ... machine learning capabilities. Works in partnership with team members to solve complex problems ...

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Build Gold layer aggregations and enriched datasets that support ML scoring models and embedded analytics reporting. * Maintain Feature Store pipelines that produce machine learning-ready feature ...

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

Build Gold layer aggregations and enriched datasets that support ML scoring models and embedded analytics reporting. * Maintain Feature Store pipelines that produce machine learning-ready feature ...

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Embedded Machine Learning Internship information

What is an Embedded Machine Learning Internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an Embedded Machine Learning Internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

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

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
What are the most commonly searched types of Embedded Machine Learning jobs in Tennessee? The most popular types of Embedded Machine Learning jobs in Tennessee are:
What cities in Tennessee are hiring for Embedded Machine Learning Internship jobs? Cities in Tennessee with the most Embedded Machine Learning Internship job openings:
Faculty - Technologies (Artificial Intelligence)

Faculty - Technologies (Artificial Intelligence)

Tennessee Board of Regents

Memphis, TN

Other

Re-posted 29 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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