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

Comfortable learning new software and technologies. * Basic computer proficiency, including ... machinery and computers. Personal Protection Equipment may be required. Safety training is ...

Cybersecurity Intern

Orem, UT · On-site

$13 - $17.50/hr

Overview The Clyde internship experience is designed to allow candidates to apply their academic learnings in a dynamic, real environment and garner valuable exposure to long-term career options in ...

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Machine Learning Intern information

See Provo, UT salary details

$24.1K

$40.3K

$83.2K

How much do machine learning intern jobs pay per year?

As of Jul 23, 2026, the average yearly pay for machine learning intern in Provo, UT is $40,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,700.00 and $43,500.00 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 the most commonly searched types of Machine Learning jobs in Provo, UT? The most popular types of Machine Learning jobs in Provo, UT are:
What are popular job titles related to Machine Learning Intern jobs in Provo, UT? For Machine Learning Intern jobs in Provo, UT, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Provo, UT look for? The top searched job categories for Machine Learning Intern jobs in Provo, UT are:
What cities near Provo, UT are hiring for Machine Learning Intern jobs? Cities near Provo, UT with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Provo, UT as of July 2026, with employment types broken down into 10% Internship, 1% As Needed, 53% Full Time, 33% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $40,282 per year, or $19.4 per hour.
Project Coordinator Intern

Project Coordinator Intern

Namify

Springville, UT • On-site

$18/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Type
Full-time, Internship
Description
ABOUT US:
Namify is in the business of belonging. For over 20 years, companies of all sizes have partnered with us to elevate their recognition programs, corporate gifting strategies, branding initiatives, and employee engagement. Through automation and more sustainable practices, we are revolutionizing an industry that has traditionally been wasteful and awkward. We are looking for energetic "inclusion superheroes" to join the cause. If you are a detail-oriented person and like the idea of creating more happiness in the workplace, we want to talk to you ... like yesterday. We're growing fast because the world recognizes how desperately services like ours are needed.
ABOUT THIS JOB:
The Project Coordinator Intern will support internal projects by helping keep tasks organized, up to date, and moving forward. Working closely with the IT Project Manager and project teams, you will maintain project documentation, update project tracking systems, coordinate communication between stakeholders, and help ensure tasks are completed on schedule. This temporary internship runs through the end of October and provides hands-on experience with project coordination, project management tools, and cross-functional collaboration. We're looking for someone who is dependable, eager to learn, and able to stay organized while following established processes.
RESPONSIBILITIES:
  • Maintaining and updating project statuses in Asana to accurately reflect current progress.
  • Collecting regular project updates from developers and stakeholders and documenting them within project tracking systems.
  • Assisting with the preparation and distribution of weekly project status reports.
  • Coordinating project meetings, including scheduling, preparing agendas, taking meeting notes, and documenting action items.
  • Translating approved project scope into organized development tasks within Azure DevOps under the guidance of project leadership.
  • Tracking open action items, deadlines, and follow-up tasks to help keep projects on schedule.
  • Identifying potential blockers, risks, or delays and communicating them to the IT Project Coordinator.
  • Maintaining project documentation, change logs, and project records to ensure visibility and organization.
  • Supporting sprint planning and execution by helping ensure tasks remain current and accurately tracked.
  • Collaborating with cross-functional teams to support successful project execution.
  • Any other tasks as assigned

BENEFITS AND COMPENSATION:
  • $18/hour
  • Monthly company lunch
  • Experience days

Requirements
Must have proper documentation for employment in the United States
Must pass a pre-employment drug screen
High School diploma or equivalent preferred
REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES:
  • Currently pursuing or recently completed a degree in Information Technology, Information Systems, Business, Computer Science, Project Management, or a related field.
  • Strong organizational and time management skills.
  • Excellent written and verbal communication skills.
  • High attention to detail with the ability to manage multiple tasks simultaneously.
  • Ability to prioritize work and follow established processes.
  • Comfortable learning new software and technologies.
  • Basic computer proficiency, including Microsoft Office or Google Workspace.
  • Ability to work collaboratively with cross-functional teams.
  • Self-motivated with a willingness to ask questions and learn.
  • Ability to sit and work at a computer for extended periods throughout the workday.

SPECIAL CONSIDERATION FOR:
  • Familiarity with Asana, Jira, Azure DevOps, or similar platforms
  • Exposure to Agile or Scrum methodologies

THIS POSITION REPORTS TO:
  • IT Project Manager

SCHEDULE:
  • Monday to Friday, 9:00am-5:00pm (Full-time)
  • Remote work not available

WORK SPACE INFO:
This job operates in a warehouse environment which requires standing, moving, lifting, and operating machinery and computers. Personal Protection Equipment may be required. Safety training is mandatory and employees must be able to pass basic safety requirements.
TRAINING:
Training for this position will be completed by the department manager. Training will consist of education on key processes, preparation and staging requirements by customer, location of tools, supplies and materials. You will be trained on how to use the order interface, how to properly read orders and where to look for notes. Additional training will be completed as processes evolve or as required.
SAFETY:
Namify enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment. Each incumbent is responsible for completing all training requirements and fulfilling self-aid/buddy-aid responsibilities, participating in emergency response tasks as requested, and serving on safety committees and teams as requested. In addition, the incumbent must accept that they have responsibility for maintaining the safety of themselves and others by adhering to all written and verbal instructions, promptly reporting and/or correcting all hazards or unsafe conditions, questioning nonstandard operations or environmental factors that may involve unmitigated hazards, and providing feedback to site leads and management on all safety issues.
Salary Description
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