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Machine Learning Research Scientist Jobs in Utah

Waystar

Sr. Data Scientist

Lehi, UT · On-site

This person will interact with teams from Account Management to Application Engineering and R&D, to ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

NICE

Senior Machine Learning Engineer

Sandy, UT · On-site

$113K - $150K/yr

NiCE is looking for a Senior Machine Learning Engineer to join NiCE Labs Research (NLR), a team ... MS in computer science, electrical engineering, computational linguistics, or a related field with ...

Crew Career Center

Sr. Data Scientist

Lehi, UT

This person will interact with teams from Account Management to Application Engineering and R&D, to ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

Patientco

Sr. Data Scientist

Lehi, UT · On-site

This person will interact with teams from Account Management to Application Engineering and R&D, to ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

University of Utah

Research Specialists

Salt Lake City, UT · On-site

$14.38 - $27.87/hr

Details Open Date 06/05/2026 Requisition Number PRN17122N Job Title Research Specialists Working ... or machine learning methods to real-world datasets (e.g., clinical text, scientific text, or ...

Patientco

Data Scientist

Lehi, UT · On-site

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 ...

Crew Career Center

Data Scientist

Lehi, UT · On-site

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 ...

Quora

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of transformer models and LLM ...

Quora

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of transformer models and LLM ...

Quora

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of transformer models and LLM ...

Quora

$139K - $168K/yr

D. in Computer Science, Engineering or a related technical field * Strong understanding of mathematical foundations of Machine Learning algorithms * Experience of transformer models and LLM ...

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Showing results 41-60

All JobsMachine Learning Research Scientist JobsMachine Learning Research Scientist Jobs in Utah

Machine Learning Research Scientist information

See Utah salary details

$46K

$118.5K

$158.4K

How much do machine learning research scientist jobs pay per year?

As of Jul 27, 2026, the average yearly pay for machine learning research scientist in Utah is $118,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $157,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Research Scientist, you need a strong background in mathematics, statistics, programming (typically Python or similar), and experience with machine learning frameworks, usually supported by an advanced degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and proficiency in data handling and cloud platforms is highly valued, alongside certifications like Google Cloud ML Engineer as a plus. Innovative thinking, strong communication, and effective problem-solving skills help set exceptional researchers apart. Mastery of both technical and soft skills is essential for developing impactful models, collaborating across multidisciplinary teams, and staying ahead in this fast-evolving field.

What are the typical projects and daily responsibilities for a Machine Learning Research Scientist?

As a Machine Learning Research Scientist, your typical projects may include developing novel algorithms, conducting experiments on large datasets, implementing and tuning models, and publishing research findings. Your daily responsibilities often involve coding, data analysis, reading the latest literature, collaborating with engineers and product teams, and participating in internal discussions about research direction. You may also mentor junior researchers, contribute to open-source projects, and present results at conferences or internal meetings. This role offers a dynamic work environment where continuous learning and innovative problem-solving are highly encouraged.

What is a Machine Learning Research Scientist job?

A Machine Learning Research Scientist develops new algorithms and models to advance the field of artificial intelligence. They conduct experiments, analyze data, and publish research to push the boundaries of machine learning theory and applications. Their work often involves designing novel architectures, optimizing existing models, and collaborating with engineers to bring research into production. This role typically requires a deep understanding of mathematics, statistics, and programming, along with experience in areas like deep learning, reinforcement learning, or probabilistic modeling.

What are the most commonly searched types of Machine Learning Research Scientist jobs in Utah? The most popular types of Machine Learning Research Scientist jobs in Utah are:
What are popular job titles related to Machine Learning Research Scientist jobs in Utah? For Machine Learning Research Scientist jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Machine Learning Research Scientist jobs in Utah look for? The top searched job categories for Machine Learning Research Scientist jobs in Utah are:
What cities in Utah are hiring for Machine Learning Research Scientist jobs? Cities in Utah with the most Machine Learning Research Scientist job openings:
Machine Learning Research Scientist jobs near you
Infographic showing various Machine Learning Research Scientist job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $118,455 per year, or $56.9 per hour.
Sr. Data Scientist

Sr. Data Scientist

Waystar

Lehi, UT • On-site

Full-time

Medical, Retirement, PTO

Posted 10 days ago

Job description

ABOUT THIS POSITION
We are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will interact with teams from Account Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product line. The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for this position 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 Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing 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 various analytically-based features in core products
  • Works on groundbreaking new applications of machine learning and analytic technology to 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 root causes of problems and successes succinctly

WHAT YOU'LL NEED
  • Complete 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

  • Understanding of orders of algorithms and how they scale
  • Demonstrated competency in R/Python predictive modeling
  • Demonstrated competency in RDBMS (e.g. SQL Server)
  • Ability to code in 1+ general purpose programming language (C#, Java, etc.)
  • Must be a quick-learner with the ability to multi-task in a fast-paced environment

  • Outstanding presentation abilities and the ability to communicate with all levels of the Business
  • Comfortable working in newly-forming, ambiguous areas where learning and adaptability are key skills
  • Outstanding communication and interpersonal skills
  • Must possess strong analytical, problem-solving, and writing skills
  • Proficient in Microsoft Office applications

  • Detail-oriented

  • Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics 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.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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