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Internship Machine Learning Engineer Jobs in Utah

Mariana Minerals

Extractive Metallurgist

Moab, UT · On-site

$100K - $160K/yr

You'll work closely with operations, engineers, machine learning experts, and data scientists to develop innovative solutions that improve efficiency, recovery, and throughput across our projects.

beatBread

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

About The Role As an AI Engineer, you will design, build, and deploy sophisticated AI solutions ... Collaborating closely with cross-functional teams, you will develop and optimize machine learning ...

beatBread

AI Engineer

Saint George, UT · On-site

About The Role As an AI Engineer, you will design, build, and deploy sophisticated AI solutions ... Collaborating closely with cross-functional teams, you will develop and optimize machine learning ...

Pwc

CTIO AI Engineering Manager

Salt Lake City, UT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

NGA AI Engineer Manager

Salt Lake City, UT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Brex

Brex Rotational Program

Salt Lake City, UT · Hybrid

$58K - $66K/yr

... Machine Learning, Information Systems, or other Engineering. * Basic knowledge or proficiency in ... Prior internships/full-time roles in an operational, data, or technical role, especially where you ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Pwc

NGA AI Engineer Senior Manager

Salt Lake City, UT · On-site

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

BambooHR

Sr. Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Design, build, and operationalize machine learning pipelines for training, validation, deployment ...

Smule

Director of Engineering

Salt Lake City, UT · On-site

Drive Smules AI-first engineering practices by embedding AI-assisted development, automation, machine learning/deep learning systems, and modern developer productivity tools into daily engineering ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

Responsibilities : • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems ...

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All JobsMachine Learning Engineer JobsInternship Machine Learning Engineer JobsInternship Machine Learning Engineer Jobs in Utah

Internship Machine Learning Engineer information

What does an Internship Machine Learning Engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

What is the difference between Internship Machine Learning Engineer vs Data Scientist Intern?

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

What types of projects and responsibilities can I expect as an Internship Machine Learning Engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

What are the key skills and qualifications needed to thrive as an Internship Machine Learning Engineer, and why are they important?

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical environment.
What are the most commonly searched types of Machine Learning Engineer jobs in Utah? The most popular types of Machine Learning Engineer jobs in Utah are:
What cities in Utah are hiring for Internship Machine Learning Engineer jobs? Cities in Utah with the most Internship Machine Learning Engineer job openings:
Internship Machine Learning Engineer jobs near you

Controls Engineer II

Medical Manufacturing Technologies

Saint George, UT • On-site

$74K - $96K/yr

Full-time

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

Job description

Job Type
Full-time
Description
Controls Engineer II
Location: St. George, UT
Travel: Up to 50% during the first 6 months, then approximately 20% thereafter
Employment Type: Full-Time
Join MMT and Help Build the Future of Automation
At MMT, we design and build innovative automation systems, custom machinery, material handling solutions, and advanced manufacturing technologies used by customers around the world. We are seeking a talented Controls Engineer II to join our St. George team and play a key role in developing next-generation automation solutions.
This is an exciting opportunity for an experienced controls engineer who enjoys solving complex technical challenges, working directly with customers, and contributing to cutting-edge technologies, including machine vision, robotics, and emerging machine learning applications.
What You'll Do
  • Develop, test, and deploy PLC and IPC control software across multiple platforms, including CODESYS and Windows-based industrial PCs.
  • Create and maintain programming standards, reusable code libraries, and version control practices.
  • Design and implement custom software solutions for customer applications.
  • Support machine commissioning, troubleshooting, optimization, and customer installations.
  • Integrate machine controls, motion systems, sensors, vision systems, and electrical components.
  • Collaborate with mechanical engineering teams to improve equipment performance and manufacturability.
  • Assist with technology transfers, acquisitions, FAT/SAT activities, and documentation development.
  • Contribute to data collection initiatives and emerging machine learning applications.
  • Develop functional specifications, risk assessments, test plans, and training materials.

What We're Looking For
Required Qualifications
  • Bachelor's degree in Controls Engineering, Electrical Engineering, Mechanical Engineering, or related field.
  • 5+ years of hands-on controls engineering experience in industrial automation.
  • Strong PLC programming experience across multiple platforms and vendors.
  • Experience with CODESYS and Windows-based industrial PCs (IPCs).
  • Knowledge of machine controls integration, electrical systems, sensors, motion control, and automation equipment.
  • Proficiency with SolidWorks and SolidWorks Electrical.
  • Strong troubleshooting, problem-solving, and communication skill

Preferred Qualifications
  • Experience with laser-based systems.
  • Python programming experience.
  • Robot programming experience.
  • Experience with machine vision or inspection systems.
  • Lean manufacturing and process improvement experience.
  • Customer-facing project experience.

Why Join MMT?
Work on innovative automation and machine design projects. Collaborate with a highly skilled engineering team.
Gain exposure to advanced manufacturing technologies, robotics, vision systems, and machine learning applications.
Travel to customer sites and see your solutions in action.
Make a direct impact on the development of industry-leading equipment and processes.
Medical Manufacturing Technologies (MMT) is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.
MMT is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need assistance or accommodation during the application or interview process, please contact us.
MMT participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.

Apply