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

Weave

Instructional Design - Intern

Lehi, UT · On-site

$14 - $18.75/hr

Build and update eLearning courses in Articulate Rise and other tools (e.g., Snag-It, Camtasia, Storyline, Scribe). * Maintain training content to ensure accuracy, consistency, and visual quality.

Clyde Companies, Inc.

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 ...

Clyde Companies, Inc.

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

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 Jun 11, 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.

More about Machine Learning Intern jobs
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 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:
Machine Learning Intern jobs near you

Instructional Design - Intern

Weave

Lehi, UT • On-site

$14 - $18.75/hr

Internship

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Weave needs someone like you! You're a creative, detail-oriented person who loves helping others learn. In this role, you'll design and maintain engaging product training for Weave's SaaS platform-helping customers and employees gain confidence using our tools. About 80% of your time will focus on developing and updating courses in Articulate Rise, with the rest spent supporting our LMS admin and broader training team. If you're looking to grow your instructional design skills and make an impact early in your career, this is the place for you!
  • This position will be hybrid (remote/in office), would consider remote for the right candidate.
  • Internship term: 3 months
  • Reports to: Manager of Training
What You Will Own
  • Build and update eLearning courses in Articulate Rise and other tools (e.g., Snag-It, Camtasia, Storyline, Scribe).
  • Maintain training content to ensure accuracy, consistency, and visual quality.
  • Partner with subject matter experts to gather information and organize content effectively.
  • Support the LMS admin with uploading, testing, and publishing training materials.
  • Apply instructional design principles to structure learning experiences that engage and inform.
  • Manage project timelines and communicate progress with stakeholders.
  • Recommend improvements to enhance course effectiveness and learner experience.

What You Will Need to Accomplish the Job
  • Strong written and verbal communication skills.
  • Organized, detail-oriented, and proactive with follow-through.
  • Eager to learn new tools and technology (Snag-It, Camtasia, Scribe).
  • Able to collaborate well with multiple teams and adapt to shifting priorities.
  • Foundational understanding of instructional design and adult learning principles.
  • Passionate about using creativity and technology to make learning simple and effective.

What Will Make Us Love You
  • Experience creating or maintaining online learning content in an LMS.
  • Familiarity with Articulate Storyline, Scribe, or similar eLearning tools.
  • Prior experience developing product training at a SaaS company.
  • Certification or degree in Education, Instructional Design, Communications, or a related field.
  • Internship or project experience in instructional design, training, or eLearning.

Employment with Weave is contingent upon the successful completion of a background check, conducted in accordance with applicable laws.
At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a smoother candidate experience. AI may assist with things like writing job descriptions, scheduling interviews, or reviewing applications against job-related criteria. For additional information, please review the External AI Policy Statement available on our Careers page.
Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported. We welcome anyone who is hungry to learn, problem-solve and progress regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other applicable legally protected characteristics. If you have a disability or special need that requires accommodation, please let us know.
Beware of recruitment fraud. All official correspondence will occur through Weave branded email. We will never ask you to share bank account information, cash a check from us, or purchase software or equipment as part of your interview or hiring process.

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