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Machine Learning Intern Jobs in Layton, UT (NOW HIRING)

Details Open Date 04/22/2026 Requisition Number PRN16980N Job Title OCHE Intern Working Title Utah Innovation Storytelling Intern Career Progression Track UGR Track Level FLSA Code Nonexempt Patient ...

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports that provide key business insights to internal stakeholders. This is an excellent opportunity for ...

Power BI Intern

Ogden, UT · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports that provide key business insights to internal stakeholders. This is an excellent opportunity for ...

Details Open Date 06/30/2026 Requisition Number PRN17170N Job Title OCHE Intern Working Title Content Creator - Storyteller Intern Career Progression Track UGR Track Level FLSA Code Nonexempt Patient ...

Intern

Salt Lake City, UT · On-site

$14.50 - $19.25/hr

Will be well supervised and participate in a meaningful learning experience * Upon completion of the internship, the student will be evaluated through a written review by the internship supervisor ...

Intern

Salt Lake City, UT

$14.50 - $19.25/hr

Will be well supervised and participate in a meaningful learning experience * Upon completion of the internship, the student will be evaluated through a written review by the internship supervisor ...

Intern

Salt Lake City, UT · On-site

$14.50 - $19.25/hr

Will be well supervised and participate in a meaningful learning experience * Upon completion of the internship, the student will be evaluated through a written review by the internship supervisor ...

Intern

Salt Lake City, UT

$14.50 - $19.25/hr

Will be well supervised and participate in a meaningful learning experience * Upon completion of the internship, the student will be evaluated through a written review by the internship supervisor ...

The Learning department ensures that all new hires connect with ABS Kids' mission, and values, as well as feel confident and prepared for their new roles with ABS Kids. This is a full-time, permanent ...

Intern

Salt Lake City, UT · On-site

$20/hr

Your role Are you a motivated self-starter? Can you take an assignment and run with it? If you're ready to dive into a fast-paced, client-focused work environment, an internship may be the right fit ...

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Showing results 1-20

Machine Learning Intern information

See Layton, UT salary details

$23.2K

$38.7K

$80K

How much do machine learning intern jobs pay per year?

As of Jul 2, 2026, the average yearly pay for machine learning intern in Layton, UT is $38,690.00, 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 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 Layton, UT? For Machine Learning Intern jobs in Layton, UT, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Layton, UT look for? The top searched job categories for Machine Learning Intern jobs in Layton, UT are:
What cities near Layton, UT are hiring for Machine Learning Intern jobs? Cities near Layton, UT with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Layton, UT as of June 2026, with employment types broken down into 2% As Needed, 45% Full Time, 51% Part Time, and 2% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $38,690 per year, or $18.6 per hour.
OCHE Intern

$15/hr

Part-time

Retirement

Posted 10 days ago


University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

337th of 544 rated colleges and universities


Job description

Details
Open Date 04/22/2026 Requisition Number PRN16980N Job Title OCHE Intern Working Title Utah Innovation Storytelling Intern Career Progression Track UGR Track Level FLSA Code Nonexempt Patient Sensitive Job Code? No Type Non Benefited Staff / Student Temporary? Yes Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary
Monday - Friday, 8am - 5pm. Flexible to meet no more than 19 hours per week. 
Is this a work study job? No VP Area President Department 02488 - Nucleus Institute Location Other City Lehi, UT Type of Recruitment External Posting Pay Rate Range $15.00 Close Date 07/13/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
About the Role
We are seeking a highly creative, digitally savvy intern to help share Utah's story-from its exceptional quality of life to its thriving innovation and entrepreneurial ecosystem. This role offers a unique opportunity to work directly with the Commissioner of Economic Development and the Nucleus Institute to amplify the people, ideas, and policies shaping Utah's future.
What You'll Gain
Direct experience working with state leadership
Hands-on experience building a brand and growing a digital audience
Exposure to Utah's startup, research, and policy ecosystem
Opportunity to build a strong network across government, industry, and academia
Responsibilities
What You'll Do
Attend events across Utah (startups, universities, policy, innovation)
Capture high-quality content: photos, videos, interviews, and real-time social media
Create engaging, shareable content that builds momentum and audience growth
Help develop and execute a cohesive brand voice and storytelling strategy
Grow and engage an influence-driven audience across platforms
Research and write compelling stories highlighting Utah's innovation ecosystem
Spotlight entrepreneurs, researchers, companies, and policy initiatives
Help expand the reach of Utah's story locally, nationally, and globally
Minimum Qualifications
Qualifications
  • High School Diploma, or equivalency.
  • Currently enrolled in a Utah institution of higher education.
  • Strong analytical and research skills, with the ability to analyze complex information and present it clearly and concisely.
  • Excellent written and verbal communication skills.
  • Proactive, self-driven, and able to work independently as well as part of a team.
  • Proficiency in Microsoft Office Suite and familiarity with research databases and tools.
Preferences
What We're Looking For
Proven ability to create high-quality, engaging content (portfolio or examples preferred)
Strong instincts for building a brand and growing an audience or following
Passion for innovation, entrepreneurship, or public policy
Excellent writing and communication skills
Experience with social media platforms and content trends
Self-starter who is organized, reliable, and proactive
Curious, energetic, and excited to tell meaningful stories
Willingness to travel and attend events statewide
Who Should Apply
Students or early-career individuals who are excited about building influence, telling powerful stories, and amplifying Utah's innovation ecosystem through modern content and media.
Special Instructions Summary Additional Information
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.utah.edu/safetyreport/
This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.

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About University of Utah

Sourced by ZipRecruiter

The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850