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Machine Learning Intern Jobs in American Fork, UT

Youth Care of Utah

Therapist Intern

Draper, UT · On-site

$14 - $18.75/hr

We are looking to add a therapist intern to our clinical department. Youth Care of Utah is the perfect place to gain valuable experience while making a difference in the lives of adolescents. Youth ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in American Fork, UT

Machine Learning Intern information

See American Fork, UT salary details

$22.8K

$38.1K

$78.7K

How much do machine learning intern jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning intern in American Fork, UT is $38,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,100.00 and $41,100.00 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.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in American Fork, UT? The most popular types of Machine Learning jobs in American Fork, UT are:
What job categories do people searching Machine Learning Intern jobs in American Fork, UT look for? The top searched job categories for Machine Learning Intern jobs in American Fork, UT are:
What cities near American Fork, UT are hiring for Machine Learning Intern jobs? Cities near American Fork, UT with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in American Fork, UT as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $38,065 per year, or $18.3 per hour.

Paid Intern, Provo UT, Development Counseling Services

The Church of Jesus Christ of Latter-day Saints

Provo, UT

$14.25 - $19/hr

Part-time

Posted yesterday

New

Church of Jesus Christ of Latter-day Saints rating

8.6

Company rating: 8.6 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

3rd of 18 rated religious organizations

Job description

This position is primarily for educational or religious purposes and should be used for providing valuable educational experiences for the Intern. It is to give the Intern an opportunity to see how principles and practices learned in their educational institutions are applied in actual work setting. Under general supervision, the Intern performs work as assigned by the department.

Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord's work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings- giving Church members places to worship, teach, learn, and receive sacred ordinances-our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.
Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.
Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.

Paid Interns are qualified while enrolled in an educational institution and for one year following graduation. They must sign a Paid Internship Engagement Letter.

Responsibilities may vary by assignment depending on department and need. The Intern receives assignments from supervising staff. The Manager reviews the Intern's work occasionally. The supervisor reviews each assignment as it is completed. The Intern is expected to meet rigid and challenging deadlines, work in harmony with other people, take direction on each assignment, and give full attention to detail. Independence in working, tact, and diplomacy are required. Sound judgment of Church doctrine, history, organization, policy and protocol are also expected.

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