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

Covista

Student Learning Specialist

Salt Lake City, UT · On-site

$49K - $86K/yr

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 ...

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

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 24, 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.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Layton, UT? The most popular types of Machine Learning jobs in Layton, UT are:
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 cities near Layton, UT are hiring for Machine Learning Intern jobs? Cities near Layton, UT with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
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.

Student Learning Specialist

Covista

Salt Lake City, UT • On-site

$49K - $86K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 hours ago

Job description

Company Description
Chamberlain
With more than 135 years of history in healthcare education and as the largest nursing school in the country, Chamberlain University is committed to delivering a high-value education that prepares students to thrive as healthcare professionals. We call this commitment Chamberlain Care®-our dedication to providing students with the tools and resources to succeed while immersed in a community of care. By living Chamberlain Care®, we graduate healthcare professionals who transform the health of people worldwide.
Chamberlain is comprised of the College of Nursing and the College of Health Professions. The College of Nursing offers a three-year Bachelor of Science in Nursing degree program and flexible post-licensure programs, such as the RN to BSN option, Master of Science in Nursing degree program, Doctor of Nursing Practice degree program and graduate certificates. The College of Health Professions also offers the Master in Public Health, Master of Social Work and Master of Physician Assistant Studies degree programs.
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 at www.chamberlain.edu, and follow Chamberlain on Instagram, Facebook and LinkedIn.
Job Description
Opportunity at a Glance
Collaborating with academic partners, faculty and staff, the Specialist provides strategies and academic reinforcement to students throughout their academic program and as they prepare for success with the NCLEX-RN exam. Working with students individually and in small groups, the Specialist assesses learning styles, identifies strengths, and discovers opportunities for academic development. Specialists create and implement personalized remediation plans for our students as they prepare for academic and professional success. In addition, the Specialist supports all clinical learning lab and simulated patient care learning experiences for students.
Responsibilities
  • Facilitation of simulation-based experiences (SBE) and labs to include equipment maintenance, ordering supplies, set-up and clean-up
  • Demonstrates current, detailed, accurate knowledge of concepts tested by the NCLEX-RN as well as currency in nursing practice to provide academic support
  • Assists in the creation of Next Generation NCLEX activities/workshops
  • Demonstrates effective behaviors and accountability in meeting the following standards of service excellence to students, fellow team members, and external agencies: Friendliness and courtesy, professional environment, effective communication, and first-class service
  • Communicates and documents (reporting) students' academic and co-curricular progress toward achievement of student and program learning outcomes to academic leadership (i.e., retention committee)
  • Assists in developing and implementing detailed clinically based scenarios for the simulated learning experiences, including use of high-fidelity patient simulators
  • Coordinates and supervises lab experiences to ensure that students have the opportunity to meet course objectives
  • Staffs open lab; Provides individual oversight to students during practice and/or remediation of technical nursing skills as required by course objectives
  • Individual or group tutoring
  • Participates in outreach to students with at-risk referrals
  • Performs other duties as assigned
  • Complies with all policies and standards

Qualifications
  • Bachelor's Degree in nursing Required and
  • Master's Degree in Education Preferred or
  • Master's Degree Nursing Preferred
  • 1+ year year experience in an academic environment supporting classroom instruction or specialized tutoring support Preferred
  • Excellent communication skills with proven ability to communicate via telephone, computer, and in person.
  • Excellent analytical and problem-solving skills.
  • Must have excellent attention to detail and proofreading skills.
  • Ability to work with individuals from diverse cultural and professional backgrounds.
  • Demonstrated working knowledge of Microsoft Office Suite (especially Word, Excel, PowerPoint and Outlook).
  • Must be a team player, willing to share and exchange.
  • Maintenance of a current, unencumbered RN license Required and
  • BLS CPR Required and
  • BLS CPR instructor certification; Required and
  • ACLS and /or PALS Preferred

Additional Information
In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $49,199.33 and $86,253.75. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits.
Covista offers a robust suite of benefits including:
  • Health, dental, vision, life and disability insurance
  • 401k Retirement Program + 6% employer match
  • Participation in Covista's Flexible Time Off (FTO) Policy
  • 12 Paid Holidays
    For more information related to our benefits please visit:
    https://careers.covista.com/benefits

Equal Opportunity - Minority / Female / Disability / V / Gender Identity / Sexual Orientation

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