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

The Sales Enablement Intern GTM Tech Stack supports various platforms within the sales enablement ... You will contribute to the ongoing development and effectiveness of the sales team's learning and ...

New

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 ...

The Partnerships Intern supports the Strategic Partnerships team by assisting with data tracking ... your learning experience through additional internship seasons Why Join Workiva Workiva is the ...

New

The Partnerships Intern supports the Strategic Partnerships team by assisting with data tracking ... your learning experience through additional internship seasons Why Join Workiva Workiva is the ...

New

Sales Strategy & Execution, EL As an intern, you will have the opportunity to gain practical experience through various projects. Each day, you will acquire knowledge by performing tasks as directed.

Sales Strategy & Execution, EL As an intern, you will have the opportunity to gain practical experience through various projects. Each day, you will acquire knowledge by performing tasks as directed.

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 · 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 · 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 · 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 · 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 · 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 ...

Chamberlain is accredited by the Higher Learning Commission (www.hlcommission.org), an institutional accreditation agency recognized by the U.S. Department of Education. Learn more about Chamberlain ...

Chamberlain is accredited by the Higher Learning Commission (www.hlcommission.org), an institutional accreditation agency recognized by the U.S. Department of Education. Learn more about Chamberlain ...

Showing results 41-60

Machine Learning Intern information

See Ogden, UT salary details

$25K

$41.7K

$86.2K

How much do machine learning intern jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning intern in Ogden, UT is $41,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,000.00 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.

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

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

What job categories do people searching Machine Learning Intern jobs in Ogden, UT look for?

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

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

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

Infographic showing various Machine Learning Intern job openings in Ogden, UT as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,697 per year, or $20 per hour.

Spring 2027 Intern - Sales Enablement

Workiva

Ogden, UT • On-site

$21/hr

Other

Retirement

Posted 3 days ago

New


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies


Job description

The Sales Enablement Intern GTM Tech Stack supports various platforms within the sales enablement team. You will contribute to the ongoing development and effectiveness of the sales team's learning and enablement initiatives.

What You'll Do

  • Tool Maintenance: Help manage tools like CRM, enablement automation, and data enrichment platforms.
  • Data Quality: Clean and update contact lists, fix data errors, and keep records accurate.
  • Workflow Support: Build and test basic automation rules, email sequences, or lead routing.
  • Team Training: Write simple guides and help staff use software correctly.
  • Reporting: Pull data and build basic dashboards to track team performance.

What You'll Need

Minimum Qualifications

  • Must be currently enrolled in a degree-seeking program, preferably in technology, sales, computer science, information technology, business, or related programs.

Preferred Qualifications

  • Excellent verbal, written, and interpersonal communication skills.
  • Self-motivated with strong propensity for action, results and continuous improvement.
  • The ability to work successfully in a high-energy, fast-paced, rapidly changing environment is necessary.
  • Exceptional organizational skills with the ability to multitask and manage multiple processes, programs, and procedures simultaneously while working under pressure to meet deadlines
  • Examples of your work you can showcase to our team.
  • Experience with various technologies; i.e. Google Suite, MicroSoft Office, Salesforce, LinkedIn, others.

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely and not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October Offers: Mid to late October

2027 Start Dates:

Our positions have opportunities that start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)

How You’ll Be Rewarded

Salary range in the US: $21.00 - $21.00 401(k) participation and match Paid sick leave A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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