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Research Machine Learning Federated Learning Jobs in Orem, UT

Waystar

Sr. Data Scientist

Lehi, UT · On-site

They are seeking an experienced Data Scientist to solve healthcare-related problems using data-driven methods and collaborate with various teams to enhance machine learning and predictive modeling ...

Pattern

Technical Product Manager, AI

Lehi, UT · On-site

$156K - $181K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Collaborate closely with engineering, data science, and AI research teams to design, build, and ...

New

Pattern

Technical Product Manager, AI

Lehi, UT · On-site

$156K - $181K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Collaborate closely with engineering, data science, and AI research teams to design, build, and ...

Pattern

Technical Product Manager, AI

Lehi, UT · On-site

$156K - $181K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Collaborate closely with engineering, data science, and AI research teams to design, build, and ...

Berkadia

Product Manager - AI

Midvale, UT · Hybrid

This role will partner closely with business subject-matter experts, engineering, data, machine learning, and enterprise technology teams to translate business needs into scalable AI product ...

CardWorks

Director, Data Science

South Jordan, UT · On-site

This position combines advanced analytics, machine learning, Generative AI, competitive intelligence, and industry research to identify growth opportunities, anticipate market movements, evaluate ...

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Partner with machine learning engineers to move successful experiments into production. * Develop approaches for measuring and improving model safety, consistency, and enterprise readiness.

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Partner with machine learning engineers to move successful experiments into production. * Develop approaches for measuring and improving model safety, consistency, and enterprise readiness.

New

Berkadia

Product Manager - AI

Midvale, UT · On-site

This role will partner closely with business subject-matter experts, engineering, data, machine learning, and enterprise technology teams to translate business needs into scalable AI product ...

nCino

Senior Data Scientist

Lehi, UT · On-site

Responsibilities : • Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related ...

nCino OpCo

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems * Experience in large data sets and algorithms * Considers and analyzes ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems * Experience in large data sets and algorithms * Considers and analyzes ...

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All JobsResearch Machine Learning Federated Learning JobsResearch Machine Learning Federated Learning Jobs in Orem, UT

Research Machine Learning Federated Learning information

See Orem, UT salary details

$22.2K

$37K

$76.5K

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

As of Aug 22, 2026, the average yearly pay for research machine learning federated learning 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 is a researcher in machine learning federated learning?

A Researcher in Machine Learning Federated Learning is a professional who investigates and develops methods to train machine learning models across multiple decentralized devices or servers, while keeping data localized and private. Their work focuses on improving algorithms, ensuring data privacy, and addressing challenges related to distributed learning, communication efficiency, and model accuracy. They often collaborate with other researchers, publish findings, and contribute to advancing technologies that make it possible to use sensitive data for AI without compromising privacy.

What are the key skills and qualifications needed to thrive as a researcher in machine learning federated learning?

To thrive as a Researcher in Machine Learning Federated Learning, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant advanced degree (e.g., PhD or MSc). Familiarity with Python, TensorFlow, PyTorch, and distributed computing frameworks, as well as knowledge of privacy-preserving techniques and relevant research publications, is essential. Excellent analytical thinking, problem-solving abilities, and clear scientific communication are key soft skills for success in collaborative research environments. These competencies are vital to drive innovation, rigorously evaluate federated learning approaches, and advance privacy-preserving AI technologies.

What are some common challenges faced when implementing federated learning in a research environment?

One of the primary challenges in research-focused federated learning roles is ensuring data privacy and security while maintaining model performance across distributed devices. Researchers must also address issues such as handling heterogeneous data sources, communication bottlenecks between nodes, and the complexity of debugging decentralized systems. Collaborating with cross-functional teams—such as data engineers, privacy experts, and domain specialists—is vital to overcome these hurdles and drive successful outcomes. Staying updated with the latest advancements and actively contributing to open-source initiatives can also help researchers address these evolving challenges.

What is the difference between Research Machine Learning Federated Learning vs Data Scientist?

AspectResearch Machine Learning Federated LearningData Scientist
CredentialsAdvanced degrees in CS, ML, or related fields; research experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academic institutions, tech companies focusing on privacy-preserving MLBusiness environments, analytics teams, data-driven departments
Industry UsageDeveloping federated algorithms, privacy-preserving ML modelsData analysis, modeling, reporting, and insights generation

Research Machine Learning Federated Learning specialists focus on developing privacy-preserving algorithms across distributed data sources, often in research or R&D settings. Data Scientists analyze and interpret data to inform business decisions. While both roles require strong ML knowledge, federated learning roles emphasize distributed systems and privacy, whereas Data Scientists focus on data analysis and visualization.

What job categories do people searching Research Machine Learning Federated Learning jobs in Orem, UT look for?

The top searched job categories for Research Machine Learning Federated Learning jobs in Orem, UT are:

Research Machine Learning Federated Learning jobs near you

Sr. Data Scientist

Waystar

Lehi, UT • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Waystar is a company that simplifies healthcare payments through its innovative platform. They are seeking an experienced Data Scientist to solve healthcare-related problems using data-driven methods and collaborate with various teams to enhance machine learning and predictive modeling across their products.
Responsibilities:
• 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
Qualifications:
Required:
• 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
Preferred:
• Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics
• 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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