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Machine Learning Teaching Assistant Jobs in Lehi, UT

CENTRO DE LA FAMILIA

Teacher Assistant

Salt Lake City, UT · On-site

$14.92 - $17.81/hr

Right now, we're looking for a Teacher Assistant to become a crucial part of our team. Position ... Learning Environment: Use space, relationships, materials, and routines to create an interesting ...

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Machine Learning Teaching Assistant information

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$12

$16

$21

How much do machine learning teaching assistant jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for machine learning teaching assistant in Lehi, UT is $16.95, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $18.03 per hour, depending on experience, location, and employer.

What is a machine learning teaching assistant?

Machine Learning Teaching Assistants are individuals, often graduate students or knowledgeable undergraduates, who assist professors or instructors in teaching machine learning courses. Their responsibilities typically include helping students understand course material, grading assignments, holding office hours, and sometimes leading discussion or lab sessions. They act as a bridge between students and instructors, offering support for both theoretical concepts and practical implementation. By providing guidance and feedback, they help ensure students gain a solid understanding of machine learning principles and applications.

How does a machine learning teaching assistant typically collaborate with professors and students during a course?

As a Machine Learning Teaching Assistant, you will work closely with professors to develop and grade assignments, clarify course concepts, and facilitate discussions in lectures or lab sessions. You often serve as a bridge between students and faculty, providing guidance on programming tasks, troubleshooting code, and offering feedback on projects. Regular office hours and online forums are common venues for this support, making strong communication skills and a solid grasp of machine learning fundamentals essential. This collaborative environment helps you deepen your expertise while supporting student learning.

What are the key skills and qualifications needed to thrive as a machine learning teaching assistant, and why are they important?

To thrive as a Machine Learning Teaching Assistant, you need a solid foundation in machine learning concepts, programming (often Python), and relevant coursework or a degree in computer science or a related field. Familiarity with tools like Jupyter Notebooks, TensorFlow, PyTorch, and version control systems is commonly expected. Strong communication, patience, and organizational skills help you effectively support students and collaborate with instructors. These abilities ensure you can explain complex topics clearly, assist students efficiently, and contribute to a positive learning environment.

What are popular job titles related to Machine Learning Teaching Assistant jobs in Lehi, UT?

For Machine Learning Teaching Assistant jobs in Lehi, UT, the most frequently searched job titles are:

What job categories do people searching Machine Learning Teaching Assistant jobs in Lehi, UT look for?

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

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

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

Machine Learning Teaching Assistant jobs near you
Infographic showing various Machine Learning Teaching Assistant job openings in Lehi, UT as of August 2026, with employment types broken down into 1% As Needed, 57% Full Time, 29% Part Time, 1% Temporary, and 12% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,248 per year, or $16.9 per hour.

Assistant Professor/Associate Professor/Professor (Lecturer) in Information Systems

University of Utah

Salt Lake City, UT • On-site

$90 - $110/hr

Other

Retirement

Re-posted 4 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

386th of 622 rated colleges and universities

Job description

Assistant Professor/Associate Professor/Professor (Lecturer) in Information Systems

The University of Utah, an AA/EO employer, encourages applications from all qualified individuals, and provides reasonable accommodation to the known disabilities of applicants and employees. The University of Utah values candidates who have experience working in settings with students, staff, faculty and patients from all backgrounds and possess a strong commitment to improving access to higher education, employment opportunities, and quality healthcare for historically underrepresented groups.

Position Information

Proposed Faculty Rank

Proposed Faculty Rank Assistant Professor (Lecturer), Associate Professor (Lecturer), or Professor (Lecturer)

Department

Department 01286 - OIS Operations & Info Systems

City

City Salt Lake City, UT

Track

New Position to Begin

New Position to Begin 07/01/2026

Details

The Operations and Information Systems ( OIS ) Department at the David Eccles School of Business, University of Utah is seeking applicants for a full-time career-line (non-tenure track) faculty position in Information Systems at the rank of Assistant Professor (Lecturer), Associate Professor (Lecturer), or Professor (Lecturer), depending on qualifications.

Position Overview

Career-line faculty at the Eccles School are vital contributors to the teaching and service mission of the department. The primary responsibilities of this position include teaching undergraduate and graduate courses, recruiting and advising students, supporting student learning and success, and engaging in departmental and school-level service. Faculty may also participate in research projects and practice-oriented student collaborations, depending on background and interest.

Required Qualifications
  • A graduate degree in Information Systems, Computer Science, or a closely related field.
  • A PhD in Information Systems or a related discipline is preferred, but substantial professional experience may be considered as a substitute.
Desired Qualifications
  • University-level teaching experience with strong teaching evaluations.
  • Demonstrated skill in curriculum design, instructional innovation, and student engagement.
  • Technical proficiency in areas such as:
    • Programming (e.g., Python)
    • Systems analysis and design
    • Database fundamentals and SQL
    • Web application development
    • Artificial intelligence and machine learning applications
    • Business analytics and data visualization
  • Professional experience in information systems and strong industry or academic networks.
  • Excellent communication, collaboration, and mentoring abilities.
  • Someone who is committed to removing barriers for all individuals, including those traditionally encountered by individuals from underrepresented groups.
  • A willingness to support student clubs, manage IT-related competitions, and promote departmental programs.
  • Potential for future leadership contributions within the department or school.
Opportunities

Information Systems faculty at the David Eccles School are highly research-active and deeply engaged with industry partners. Career-line faculty enjoy opportunities to collaborate on applied research studies, mentor students on practice-oriented projects, and connect with Utah’s thriving technology ecosystem.

Application Materials
  • A cover letter outlining teaching philosophy, qualifications, and relevant experience.
  • Evidence of teaching by uploading a teaching statement. You can also upload your teaching evaluations but those are optional.
  • Contact information for at least three references who can provide strong recommendations.
EEO/Non-Discrimination Information

The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.

Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.

Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.

To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX ( OEO ). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number, can be located at https://www.utah.edu/nondiscrimination/.

Online reports may be submitted at https://oeo.utah.edu.

The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.

This position may require the successful completion of a criminal background check and/or drug screen.

Special Instructions for Candidates

Open Date 10/17/2025

Close Date Open Until Filled Yes

Requisition Number PRN01426CF

Type Faculty

Posting Specific Questions

Required fields are indicated with an asterisk (*).

Required Documents
  • Cover Letter
  • Curriculum Vitae
  • Teaching Statement
  • List of References
Optional Documents
  • Historical Only – Do Not Use – See Description for More Information – Appropriate discharge document (such as DD-2214) – Veteran Only
  • Historical Only – Do Not Use – See Document Description for More Information – Addendum to the University of Utah – Veteran Only
  • Teaching Evaluations
  • Applicant Document - Other
Contact Information

University Human Resource Management

250 East 200 South, Suite 125 Salt Lake City, UT 84111

Contact us: (801) 581-2169 By Email: employment@utah.edu

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

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