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Machine Learning Engineer Intern Jobs in Orem, UT

Crew Career Center

Data Scientist

Lehi, UT

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

PDF Solutions

Senior Layout Extraction Engineer

Midvale, UT · On-site +1

$120K - $160K/yr

The Layout (FIRE) Extraction Engineer is an organized and highly motivated team player with strong ... using Machine Learning / AI (preferred) o Analytical & Problem-Solving Skills · Analysis and ...

Waystar

Data Scientist

Lehi, UT · On-site

... machine learning and analytical systems applied to design information and user behavior. • Works closely with Application Engineering teams to gather and process data, as well as in surfacing ...

Nav

Software Engineer

Draper, UT

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

Nav

Software Engineer

Draper, UT · On-site

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

Nav

Software Engineer

Draper, UT

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

Waystar

Sr. Software Engineer - Full Stack

Lehi, UT · On-site

They are seeking a Senior Software Engineer - Full Stack to contribute to their Aware platform by ... AI, machine learning, and predictive algorithms • Familiarity with statistics and healthcare ...

Waystar

Sr. Software Engineer - Full Stack

Lehi, UT · On-site

They are seeking a Senior Software Engineer to contribute to their Aware platform, focusing on ... AI, machine learning, and predictive algorithms • Familiarity with statistics and healthcare ...

Crumbl

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

... machine learning applications • Develop and maintain data ingestion processes to bring data from external sources into the organization's data environment • Identify and address performance ...

Arturo

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Familiarity with machine learning concepts * Familiarity with asynchronous programming Benefits Key competencies at Arturo: * Willingness to learn - You have an insatiable desire to continue growing ...

KēSTA I.T.

Data Engineer

Draper, UT · On-site

$100K - $114K/yr

... and machine learning * Identify and evaluate external data sources, and develop strategies to ... Programming experience in languages such as Python, Scala, Java, or similar (Python preferred)

DataAnnotation

SDLC Engineer - AI Trainer

Provo, UT · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Enterprise Services

Applied AI Scientist

Midvale, UT · Hybrid

Familiarity with predictive modeling, machine learning, generative AI, and data mining techniques * Proficiency in programming and data science tools: * Languages: Python, R, or Java * Libraries ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Orem, UT

Machine Learning Engineer Intern information

See Orem, UT salary details

$22.2K

$37K

$76.5K

How much do machine learning engineer intern jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning engineer intern in Orem, UT is $37,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,300.00 and $40,000.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Orem, UT? The most popular types of Machine Learning Engineer jobs in Orem, UT are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Orem, UT? For Machine Learning Engineer Intern jobs in Orem, UT, the most frequently searched job titles are:
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What cities near Orem, UT are hiring for Machine Learning Engineer Intern jobs? Cities near Orem, UT with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you

Data Scientist

Crew Career Center

Lehi, UT

Full-time

Medical, Retirement, PTO

Posted 8 days ago

Job description

ABOUT THIS POSITION

We are looking for an experienced Data Scientist. The data scientist role involves solving data-driven Healthcare problems using various machine learning and predictive modeling methods. This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of predictive modeling and data driven strategies across Waystar. applying machine learning, predictive modeling, and analytic components to maximize operational outcomes for healthcare providers. The ideal candidate for this position will have exposure to the healthcare revenue cycle, can approach problem-solving challenges independently, has a strong attention to detail, and enjoys working in a fast-paced, collaborative, and team-based environment.

WHAT YOU'LL DO

  • Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational value.

  • Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically based features in core products

  • Works on new applications of machine learning and analytic technology within Healthcare, producing quantitative, justifiable results to guide feature planning

  • Translates real-world Healthcare problems to mathematical frameworks Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback

  • Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role

  • Understands, organizes, and communicates succinctly. Familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods

  • Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing

  • Demonstrated competency in R/Python predictive modeling

  • Demonstrated competency in RDBMS (e.g. SQL Server)

WHAT YOU'LL NEED

  • Must be a quick-learner with the ability to multi-task in a fast-paced environment

  • Presentation abilities and the ability to communicate with all levels of the Business.

  • Comfortable working in ambiguous areas where learning and adaptability are key skills.

  • Competent communication and interpersonal skills

  • Proficient in Microsoft Office applications

  • Bachelor's degree in the fields of Computer or Data Science, Statistics, or Mathematics is required. Additional experience and/or education in healthcare, business operations or other areas is preferred.

  • An aptitude for medical informatics is preferred

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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