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Research Machine Learning Federated Learning Jobs in Orem, UT

Crew Career Center

Data Scientist

Lehi, UT

... 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 ...

Patientco

Data Scientist

Lehi, UT · On-site

... 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 ...

Waystar, Inc

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

... 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 ...

Waystar

Data Scientist

Lehi, UT · On-site

... 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 ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

... 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 ...

Crew Career Center

Sr. Data Scientist

Lehi, UT · On-site

... 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 ...

Patientco

Sr. Data Scientist

Lehi, UT · On-site

... 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 ...

Patientco

Senior Data Scientist

Lehi, UT

... Research or Pricing as appropriate. May be internal operations-focused or external client-focused ... Lead the design, development, and implementation of sophisticated machine learning models and ...

Waystar

Senior Data Scientist

Lehi, UT · On-site

... Research or Pricing as appropriate. May be internal operations-focused or external client-focused ... Lead the design, development, and implementation of sophisticated machine learning models and ...

Crew Career Center

Senior Data Scientist

Lehi, UT

... Research or Pricing as appropriate. May be internal operations-focused or external client-focused ... Lead the design, development, and implementation of sophisticated machine learning models and ...

Waystar, Inc

Senior Data Scientist

Lehi, UT · On-site

$180 - $250/hr

... Research or Pricing as appropriate. May be internal operations-focused or external client-focused ... Lead the design, development, and implementation of sophisticated machine learning models and ...

Waystar, Inc

Sr. Data Scientist

Lehi, UT · On-site

$80 - $120/hr

... 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 focus is on extending ...

Patientco

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning ... Research, select, and experiment with appropriate open-source Language Models (Large & Small) (e.g ...

Waystar

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning ... Research, select, and experiment with appropriate open-source Language Models (Large & Small) (e.g ...

Crew Career Center

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning ... Research, select, and experiment with appropriate open-source Language Models (Large & Small) (e.g ...

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Showing results 21-40

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

Internship | Learning Experience

BrainStorm, Inc.

American Fork, UT

$13.50 - $18/hr

Full-time, Internship

Re-posted 14 days ago

Job description

Company
 
BrainStorm is a B2B SaaS company that drives digital adoption and organizational change for outstanding companies around the world, including PepsiCo, Agilent Technologies, Mattel, IDEXX, Johnsonville, VF Corp, and more.
 
BrainStorm thrives on a dynamic and fun-loving atmosphere, paired with a steadfast commitment to excellence. Our high-performing team is composed of self-starters who play a pivotal role in driving our success. Once we walk through the door, it's definitely 'Go Time'.

Opportunity
 
Join the award-winning BrainStorm Learning Experience (LX) team! This team is responsible for designing, creating, and maintaining content meant to teach millions of users around the world to adopt AI and software in their work. As an intern, you will help shape how organizations adopt and use technology more effectively. 

This isn't a typical internship. You'll work alongside experts in learning design, behavior change, AI adoption, content creation, and product development while contributing to meaningful projects that support customers around the world.

We're looking for responsible, curious, AI-native students who are eager to learn, take ownership, and make an impact. You don't need prior experience in our field, but experience with Microsoft 365, Google Workspace, Adobe Creative Cloud, AI tools, or other productivity technologies is a plus.
 

Coordinating calendars is nobody's idea of a good time, so we built a faster path.

After you apply, you'll get an email with a link to a quick screening conversation with our AI recruiting assistant - about 10 minutes, on your schedule, no back-and-forth needed. It covers the same ground as a standard screening call: the role, your background, and what you're looking for.

A member of our team reviews every conversation before any decision is made. You're not being evaluated by an algorithm - you're just skipping the scheduling dance.

As a BrainStorm Intern, you'll do things like:
  • Use AI and modern productivity tools to accelerate learning, problem-solving, and build solutions
  • Contribute to the creation and maintenance of learning content and digital learning experiences
  • Assist with research related to learning, change management, and AI adoption
  • Help ensure the quality and accuracy of customer-facing content
  • Support projects involving data analysis, process improvement, or content production
  • Collaborate with team members across a variety of initiatives
What We're Looking For:

Ownership & Responsibility
You follow through on commitments, communicate proactively, and can be trusted to manage your work effectively.

Hunger to Learn
You seek feedback, ask thoughtful questions, and look for opportunities to grow.

AI-Native Mindset
You are comfortable using AI and modern technology to learn, solve problems, and increase your effectiveness.

Flexibility & Adaptability
You can balance competing priorities, learn new tools quickly, and adjust as needs evolve.

Attention to Detail
You take pride in producing high-quality work that reflects BrainStorm's standards.

Collaboration
You work well with others, contribute to discussions, and communicate professionally.

Commitment

   Up to 20 hours per week
   September through December
   In-person at our American Fork, Utah office
 
Many of BrainStorm's strongest full-time employees started as interns. We view this internship as an opportunity to identify, develop, and invest in future team members.
 
BrainStorm provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.  
 
BrainStorm Inc is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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