ZipRecruiter

Log In

1

Reinforcement Learning Engineer Salary Jobs in Utah

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

We are seeking a Senior Machine Learning Engineer to help build and scale Entrata's applied AI ... This band covers the full salary range for the role. Your offer within this range will depend on ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent practical experience. $144,000 - $233,100 a year This band covers the full salary ...

Outsmart

Faculty Lead & Learning Engineer - Sciences

Lehi, UT · On-site

$96K - $126K/yr

About the role The Faculty Lead & Learning Engineer - Sciences is Outsmart's designated faculty ... Competitive salary, equity, and benefits * Healthcare for you and your dependents (medical, dental ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site

$144K - $233K/yr

We're looking for a Senior AI and Machine Learning Engineer to help design, build, and optimize our ... salary range for the role. Your offer within this range will depend on factors like experience ...

Zanskar

Senior Distributed Systems Engineer

Salt Lake City, UT · Hybrid

$101K - $138K/yr

Senior Distributed Systems Engineer Hours : Full-Time, Salaried Location : Salt Lake City, UT ... reinforcement learning and other AI/ML techniques, web development, and familiarity with geoscience ...

Zanskar

Senior Distributed Systems Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

Senior Distributed Systems Engineer Hours : Full-Time, Salaried Location : Salt Lake City, UT ... reinforcement learning and other AI/ML techniques, web development, and familiarity with geoscience ...

Zanskar

Senior Distributed Systems Engineer

Salt Lake City, UT · Hybrid

$101K - $138K/yr

Senior Distributed Systems Engineer Hours : Full-Time, Salaried Location : Salt Lake City, UT ... reinforcement learning and other AI/ML techniques, web development, and familiarity with geoscience ...

Covista

Student Learning Specialist

Salt Lake City, UT · On-site

$49K - $86K/yr

... academic reinforcement to students throughout their academic program and as they prepare for ... salary range for this position is between $49,199.33 and $86,253.75. Actual pay will be adjusted ...

Covista

Student Learning Specialist

Salt Lake City, UT

$49K - $86K/yr

... academic reinforcement to students throughout their academic program and as they prepare for ... salary range for this position is between $49,199.33 and $86,253.75. Actual pay will be adjusted ...

Waystar, Inc

Senior Data Scientist

Lehi, UT · On-site

$180 - $250/hr

... continuous learning within the team. * Collaborate with cross-functional teams (engineering ... Competitive total rewards (base salary + bonus, if applicable) * Customizable benefits package (3 ...

Crew Career Center

Senior Data Scientist

Lehi, UT

... continuous learning within the team. * Collaborate with cross-functional teams (engineering ... Competitive total rewards (base salary + bonus, if applicable) * Customizable benefits package (3 ...

Patientco

Senior Data Scientist

Lehi, UT

... continuous learning within the team. * Collaborate with cross-functional teams (engineering ... Competitive total rewards (base salary + bonus, if applicable) * Customizable benefits package (3 ...

next page

Showing results 1-20

All JobsReinforcement Learning Engineer Salary JobsReinforcement Learning Engineer Salary Jobs in Utah

Reinforcement Learning Engineer Salary information

What is the difference between Reinforcement Learning Engineer Salary vs Machine Learning Engineer Salary?

Reinforcement Learning Engineer SalaryMachine Learning Engineer Salary
Average salary varies based on experience, location, and industry, typically ranging from $100,000 to $150,000 annually.Average salary also varies widely, generally between $90,000 and $140,000 annually, depending on similar factors.

Both roles require strong programming skills, knowledge of machine learning frameworks, and experience with data analysis. Reinforcement Learning Engineers focus specifically on developing algorithms for decision-making tasks, while Machine Learning Engineers work on broader AI models. Salaries are comparable, with Reinforcement Learning Engineers often earning slightly more in specialized industries.

What is the salary of reinforcement learning engineer?

The salary of a reinforcement learning engineer typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often including benefits such as stock options and bonuses.

What are popular job titles related to Reinforcement Learning Engineer Salary jobs in Utah?

For Reinforcement Learning Engineer Salary jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Reinforcement Learning Engineer Salary jobs in Utah look for?

The top searched job categories for Reinforcement Learning Engineer Salary jobs in Utah are:

What cities in Utah are hiring for Reinforcement Learning Engineer Salary jobs?

Cities in Utah with the most Reinforcement Learning Engineer Salary job openings:

Reinforcement Learning Engineer Salary jobs near you

Senior Machine Learning Engineer

University of Utah Health

Salt Lake City, UT • On-site

$101K - $138K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 21 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

386th of 622 rated colleges and universities

Job description

Overview
The Chief Innovation Office (CIO) at University of Utah Health (U of U Health) would serve as the strategic hub for advancing healthcare innovation, digital transformation, research commercialization, and new models of patient care. The office would connect clinical operations, research, education, and technology to accelerate the delivery of innovative solutions that improve health outcomes, patient experiences, and operational efficiency.
  • Senior Machine Learning Engineers leverage their engineering expertise to solve a variety of technical problems for some of the most challenging and impactful projects in healthcare informatics and machine learning.
  • You will work on a specific project critical to our needs with the opportunity to switch teams and projects as you and our fast-paced business grow. We need machine learning engineers who are versatile, rigorous, display leadership qualities and are enthusiastic to take on new problems.
  • You will design, develop, test, deploy, maintain and enhance machine learning and AI solutions.
  • You will be part of the Innovation Office, a product factory inside the health system of the University of Utah.

Location: 102 Tower (Downtown SLC)
Schedule: Monday - Friday 9 AM - 5 PM
Benefits:
  • Save 50% on Tuition (Tuition reduced for eligible employees attending the University of Utah)
  • Health Coverage, Dental Coverage, Life Insurance
  • Retirement
  • Paid Time Off
  • 11 Paid Holidays per year

Corporate Overview: University of Utah Health is an integrated academic healthcare system with five hospitals including a level 1 trauma center, eleven community health centers, over 1,600 providers, and a health plan serving over 200,000 members. University of Utah Health is nationally ranked and recognized for our academic research, quality standards and overall patient experience. In addition to our clinical delivery system, we have a School of Medicine, School of Dentistry, College of Nursing, College of Pharmacy, and College of Health providing education and training for over 1,250 providers annually. We have over 2 million patient visits annually and research grants exceeding $350 million. University of Utah Hospitals and Clinics represents our clinical operations for the larger health system.
As a patient-focused organization, University of Utah Health exists to enhance the health and well-being of people through patient care, research and education. Success in this mission requires a culture of collaboration, excellence, leadership, and respect. University of Utah Health seeks staff that are committed to the values of compassion, collaboration, innovation, responsibility, integrity, quality and trust that are integral to our mission. EO/AA
Please Note: This position requires participation in onsite interviews in Salt Lake City, Utah. We encourage applicants to apply only if they are comfortable with an in-person interview process and working closely with cross-functional teams.
We encourage candidates to submit resumes that accurately reflect their own skills, experience, and accomplishments. The information provided during the application process must be truthful and authentic, as qualifications may be verified during the hiring process.
Responsibilities
Essential Functions
  • Creating, managing, maintaining, and refactoring ML codebases, pipelines, and workflows for the innovation office.
  • Collaborating closely with research, medical, and engineering staff to design and implement ML approaches.
  • Implementing scalable ML methods and workflows for high-performance computing (HPC) resources, in close collaboration with research staff and technical staff.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Troubleshooting data analysis issues, including implementation issues, hyper-parameter choices and modeling decision.
  • Assisting in preparation of manuscripts and dissemination of results in the appropriate venues.
  • Conducing tasks independently and communicate optimally to team members and stakeholders.
  • Developing deployable solutions for the health care system.
Knowledge / Skills / Abilities
  • Hands-on coding in C++, Python, PyTorch, or Tensorflow.
  • Foundational understanding of supervised and unsupervised learning, reinforcement learning, and machine learning.
  • Independently execute in the face of ambiguity
  • Leads identifications of dependencies and the development of design documents for a product, application, service, or platform.
  • Write efficient systems code and tests and able to debug distributed systems.
  • Work on-call to monitor systems/product/service for degradation, downtime or interruptions.
  • Innovative mindset with a keen eye for identifying opportunities for improvement.
  • Ability to thrive in a fast-paced, dynamic environment and simultaneously handle multiple projects.
  • Partner effectively with other engineers, product managers, and stakeholders.

Qualifications
Required
  • Bachelor's degree in a relevant field.
  • 5 years of experience in software engineering.

Qualifications (Preferred)
Preferred
  • Experience working in complex academic medical center environments.
  • Experience with large multimodal health datasets.
  • Experience with lifecycle management in a fast-paced software environment.
  • Experience in shipping products and scalable, reliable services.
  • Hands on experience with asynchronous programming and concurrency (threads, tasks, futures, async/await).
  • Experience with Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), and/or Google Kubernetes Engine (GKE) '
  • Experience in building database engines, query engines, indexing solutions (columnar, full-text, vector), at scale.
  • Experience with programming CUDA, AI systems at scale.
  • Experience with live site operations, Site Reliability Engineering (SRE) or production support roles.
  • Experience in networking, distributed systems, lower-level infrastructure.
  • Experience developing accessible technologies.
  • Proficiency in code and system health, diagnosis and resolution, and software test engineering.
  • Experience with AI agents.
Working Conditions and Physical Demands
Employee must be able to meet the following requirements with or without an accommodation.
  • This is a sedentary position that may exert up to 10 pounds and may lift, carry, push, pull or otherwise move objects. This position involves sitting most of the time and is not exposed to adverse environmental conditions.

#MachineLearningEngineer
#MLEngineering
#MLPlatform
Physical Requirements
Carrying, Climbing, Color Determination, Crawling, Far Vision, Lifting, Listening, Manual Dexterity, Near Vision, Pulling and/or Pushing, Reaching, Sitting, Speaking, Standing, Stooping and Crouching, Tasting or Smelling, Walking

What University Of Utah employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

University of Utah logo

About University of Utah

Sourced by ZipRecruiter

The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

View All University of Utah Jobs

Apply