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

Theirc

Development Intern

Salt Lake City, UT · On-site

$14.50 - $19.25/hr

SCOPE OF INTERN WORK: The development intern, supervised by the development director,providesa wide ... LEARNING OBJECTIVES Develop an understanding of partnership engagement and stewardship best ...

Extra Space

Meetings and Travel Intern

Salt Lake City, UT

$14.50 - $19.25/hr

Intern, Meetings & Travel Job Summary The Meetings & Travel Intern will work directly with the ... Comfortable with technology and learning new software programs * Good oral and written ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Lehi, UT

Machine Learning Intern information

See Lehi, UT salary details

$23.9K

$40K

$82.6K

How much do machine learning intern jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning intern in Lehi, UT is $39,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,500.00 and $43,200.00 per year, depending on experience, location, and employer.

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 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 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 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 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.

More about Machine Learning Intern jobs

What are the most commonly searched types of Machine Learning jobs in Lehi, UT?

The most popular types of Machine Learning jobs in Lehi, UT are:

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The top searched job categories for Machine Learning Intern jobs in Lehi, UT are:

What cities near Lehi, UT are hiring for Machine Learning Intern jobs?

Cities near Lehi, UT with the most Machine Learning Intern job openings:

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Lehi, UT as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $39,973 per year, or $19.2 per hour.

Internship | Learning Experience

BrainStorm, Inc.

American Fork, UT • On-site

$13.50 - $18/hr

Full-time, Internship

Re-posted 11 days ago

Job description

Company
BrainStorm is a B2B SaaS company that drives digital adoption and organizational change for outstanding companies around the world, including PepsiCo, Agilent Technologies, Mattel, IDEXX, Johnsonville, VF Corp, and more.
BrainStorm thrives on a dynamic and fun-loving atmosphere, paired with a steadfast commitment to excellence. Our high-performing team is composed of self-starters who play a pivotal role in driving our success. Once we walk through the door, it's definitely 'Go Time'.
Opportunity
Join the award-winning BrainStorm Learning Experience (LX) team! This team is responsible for designing, creating, and maintaining content meant to teach millions of users around the world to adopt AI and software in their work. As an intern, you will help shape how organizations adopt and use technology more effectively.
This isn't a typical internship. You'll work alongside experts in learning design, behavior change, AI adoption, content creation, and product development while contributing to meaningful projects that support customers around the world.
We're looking for responsible, curious, AI-native students who are eager to learn, take ownership, and make an impact. You don't need prior experience in our field, but experience with Microsoft 365, Google Workspace, Adobe Creative Cloud, AI tools, or other productivity technologies is a plus.
Coordinating calendars is nobody's idea of a good time, so we built a faster path.
After you apply, you'll get an email with a link to a quick screening conversation with our AI recruiting assistant - about 10 minutes, on your schedule, no back-and-forth needed. It covers the same ground as a standard screening call: the role, your background, and what you're looking for.
A member of our team reviews every conversation before any decision is made. You're not being evaluated by an algorithm - you're just skipping the scheduling dance.
As a BrainStorm Intern, you'll do things like:
  • Use AI and modern productivity tools to accelerate learning, problem-solving, and build solutions
  • Contribute to the creation and maintenance of learning content and digital learning experiences
  • Assist with research related to learning, change management, and AI adoption
  • Help ensure the quality and accuracy of customer-facing content
  • Support projects involving data analysis, process improvement, or content production
  • Collaborate with team members across a variety of initiatives

What We're Looking For:
Ownership & Responsibility
You follow through on commitments, communicate proactively, and can be trusted to manage your work effectively.
Hunger to Learn
You seek feedback, ask thoughtful questions, and look for opportunities to grow.
AI-Native Mindset
You are comfortable using AI and modern technology to learn, solve problems, and increase your effectiveness.
Flexibility & Adaptability
You can balance competing priorities, learn new tools quickly, and adjust as needs evolve.
Attention to Detail
You take pride in producing high-quality work that reflects BrainStorm's standards.
Collaboration
You work well with others, contribute to discussions, and communicate professionally.
Commitment
• Up to 20 hours per week
• September through December
• In-person at our American Fork, Utah office
Many of BrainStorm's strongest full-time employees started as interns. We view this internship as an opportunity to identify, develop, and invest in future team members.
BrainStorm provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
BrainStorm Inc is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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