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Machine Learning Engineer Intern Jobs in Draper, UT

Zanskar

Senior Machine Learning Scientist

Salt Lake City, UT · On-site

$88.50K - $121K/yr

Senior Machine Learning Scientist (Surrogate modeling & decision science in the earth sciences ... Translate scientific and engineering questions into well-defined learning and decision problems ...

Zanskar

Senior Machine Learning Scientist

Salt Lake City, UT · On-site +1

$88.50K - $121K/yr

Senior Machine Learning Scientist (Surrogate modeling & decision science in the earth sciences ... Translate scientific and engineering questions into well-defined learning and decision problems ...

Zanskar

Senior Machine Learning Scientist

Salt Lake City, UT · On-site +1

$88.50K - $121K/yr

Senior Machine Learning Scientist (Surrogate modeling & decision science in the earth sciences ... Translate scientific and engineering questions into well-defined learning and decision problems ...

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98.10K - $134.70K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Patientco

Senior ML Engineer

Lehi, UT · On-site

$98.10K - $134.70K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Brevium

Software Engineer Intern

American Fork, UT

$25 - $32/hr

Engineer interns should be able to work on a variety of different projects, including building and ... Passion for learning and growth. * GPA of 3.5 or higher. Location: Brevium's headquarters is ...

Crew Career Center

Senior ML Engineer

Lehi, UT · On-site

$98.10K - $134.70K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Brevium

Software Engineer Intern

American Fork, UT · On-site

$25 - $32/hr

Engineer interns should be able to work on a variety of different projects, including building and ... Passion for learning and growth. * GPA of 3.5 or higher. Location: Brevium's headquarters is ...

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Machine Learning Engineer Intern information

See Draper, UT salary details

$23.8K

$39.8K

$82.3K

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

As of May 31, 2026, the average yearly pay for machine learning engineer intern in Draper, UT is $39,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,400.00 and $43,000.00 per year, depending on experience, location, and employer.

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 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.
More about Machine Learning Engineer Intern jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Draper, UT? The most popular types of Machine Learning Engineer jobs in Draper, UT are:
What job categories do people searching Machine Learning Engineer Intern jobs in Draper, UT look for? The top searched job categories for Machine Learning Engineer Intern jobs in Draper, UT are:
What cities near Draper, UT are hiring for Machine Learning Engineer Intern jobs? Cities near Draper, UT with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Draper, UT as of May 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution, with an average salary of $39,809 per year, or $19.1 per hour.
Machine Learning Platform Engineer - Backend Services

Machine Learning Platform Engineer - Backend Services

Waystar

Lehi, UT • On-site

Full-time

Medical, Retirement, PTO

Posted 10 days ago

Job description

ABOUT THIS POSITION
Machine Learning Platform Engineer - Backend Services
We are looking for a Machine Learning Platform Engineer - Backend Services that will help us build out the platform that supports the training and application of our predictive models and performs deep analysis to extract machine consumable meaning from unstructured clinical documentation. You will be joining a small team that has become one of the top players in our field in just two years. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing our enormous amount of data to help drive our future innovation.
WHAT YOU'LL DO
Responsibilities:
  • Develop and enhance the machine learning platform to manage the full model life cycle
  • Build frameworks and tools to enable the data science team developing and enhancinge predictive model support scalable real-time predictions in production
  • Design and implement data engineering solutions for model training
  • Expand NLP capabilities with advanced analysis techniques to improve text understanding
  • Design and implement high-performance, scalable services and applications
  • Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation
  • Understand and adhere to development standards for consistency across teams
  • Perform in-depth technical and performance analyses to troubleshoot production issues
  • Monitor and maintain production systems for reliability and efficiency

WHAT YOU'LL NEED
What You'll Need
Minimum Requirements (Education, certifications and experience):
  • Bachelor's degree in Computer Science or related area
  • 3+ years of professional experience writing Python or Java code
  • Intermediate proficiency with SQL
  • Experience with CI/CD and automated testing
  • Comfort working in a Linux environment
  • Passion for exploring, applying and following the evolution of cutting edge technologies related to AI, machine learning, NLP and large scale data processing
  • Professional experience with Docker, Kubernetes, relational databases (PostgreSQL preferred), REST API design, and microservices application architectures
  • Experience with public cloud solutions, such as AWS or GCP
  • Team player DNA with a positive, self-starter attitude
  • Attention to detail, highly organized, with an absolute focus on quality of work

Preferred Requirements:
  • Professional experience with MLOps, Kafka
  • Familiarity with ClearML, Triton, PyTorch, and TensorFlow
  • Familiarity with statistics and healthcare domain
  • Proven expertise in successful large project/build management and execution
  • Demonstrated ability to manage multiple work streams simultaneously and efficiently

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.com or follow @Waystar on 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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