1

Machine Learning Intern Jobs in Johnson City, TN

Machine Learning Intern information

See Johnson City, TN salary details

$24.5K

$40.9K

$84.5K

How much do machine learning intern jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning intern in Johnson City, TN is $40,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are popular job titles related to Machine Learning Intern jobs in Johnson City, TN? For Machine Learning Intern jobs in Johnson City, TN, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Johnson City, TN look for? The top searched job categories for Machine Learning Intern jobs in Johnson City, TN are:
What cities near Johnson City, TN are hiring for Machine Learning Intern jobs? Cities near Johnson City, TN with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Johnson City, TN as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $40,901 per year, or $19.7 per hour.

Internship / Work Based Learning

West Hills Tractor Inc

Jonesborough, TN • On-site

$12/hr

Part-time

Re-posted 22 days ago


Job description

INTERNSHIP / WORK BASED LEARNING


*This is an open application for WBL students looking to apply for our internship program*


Job Description

  • Category: Parts, Service, Telematics, Sales, Marketing, Administrative,
  • Status: Part-time

Requirements

  • Basic computer skills
  • Excellent communication skills
  • Dependable, punctual, and career-oriented
  • Maintain a professional appearance
  • Ability to sit, stand, climb, lift 50 lbs., grasp, reach, stoop, and crouch, speak, listen and motor coordination skills
  • Pass a pre-employment drug screen and criminal background check
  • Reliable source of transportation

Compensation / Benefits

  • Hourly salary (pay based on experience & relevant training)


About West Hills Tractor, Inc.
West Hills Tractor, Inc. is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.