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Entry Level Machine Learning Engineer Jobs in Draper, UT

Waystar

Data Scientist

Lehi, UT · On-site

Responsibilities : • Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning ...

Epic

Software Engineer

Orem, UT · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Epic

Software Engineer

Provo, UT · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

swirecc

Data Engineer

Draper, UT · On-site

$107K - $128.50K/yr

The Data Engineer develops, deploys, and supports business functions in relation to data ... machine learning * Explore second and third party data sources that can drive value and design ...

swirecc

Data Engineer

Draper, UT

$107K - $128.50K/yr

The Data Engineer develops, deploys, and supports business functions in relation to data ... machine learning * Explore second and third party data sources that can drive value and design ...

Wsgr

Innovations and AI Solutions Engineer

Salt Lake City, UT · On-site +1

$116.88K - $158.13K/yr

Design, build and implement machine learning models, including the development of AI Models and ... Programming and scripting languages: Python, R, C++, Julia, Javascript, SQL * API integration and ...

Patientco

Data Scientist

Lehi, UT · On-site

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Crew Career Center

Data Scientist

Lehi, UT

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Waystar

Data Scientist

Lehi, UT · On-site

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

Crew Career Center

Sr. Data Scientist

Lehi, UT

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

Patientco

Sr. Data Scientist

Lehi, UT

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Waystar

Data Scientist

Lehi, UT · On-site

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

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Entry Level Machine Learning Engineer information

See Draper, UT salary details

$28K

$64.8K

$110.3K

How much do entry level machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level machine learning engineer in Draper, UT is $64,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $73,400.00 per year, depending on experience, location, and employer.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
More about Entry Level Machine Learning Engineer 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 are popular job titles related to Entry Level Machine Learning Engineer jobs in Draper, UT? For Entry Level Machine Learning Engineer jobs in Draper, UT, the most frequently searched job titles are:
What cities near Draper, UT are hiring for Entry Level Machine Learning Engineer jobs? Cities near Draper, UT with the most Entry Level Machine Learning Engineer job openings:
Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Draper, UT as of May 2026, with employment types broken down into 1% Internship, 92% Full Time, 5% Part Time, 1% Contract, and 1% Nights. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $64,843 per year, or $31.2 per hour.
Data Scientist

Data Scientist

Waystar

Lehi, UT • On-site

Full-time

Posted 24 days ago

Job description

Job Summary:
Waystar is a company that helps providers simplify healthcare payments and improve financials throughout the revenue cycle. They are seeking an experienced Data Scientist to solve data-driven healthcare problems using machine learning and predictive modeling methods, while collaborating with Product Management and Application teams to maximize operational outcomes.
Responsibilities:
• 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)
Qualifications:
Required:
• Bachelor’s degree in the fields of Computer or Data Science, Statistics, or Mathematics
• Demonstrated competency in R/Python predictive modeling
• Demonstrated competency in RDBMS (e.g. SQL Server)
• 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
• 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
Preferred:
• Additional experience and/or education in healthcare, business operations or other areas
• An aptitude for medical informatics
Company:
Waystar is a technology platform that provides healthcare revenue cycle management solutions. Founded in 2017, the company is headquartered in Louisville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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