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
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
Multi-lingual Candidates Welcomed
To inquire about this posting, email: [email protected]
EEO Statement
University of Utah Health Hospitals and Clinics, a part of The University of Utah, values candidates who have experience working in settings with students and patients from all backgrounds and possess a strong commitment to improving access to higher education and quality healthcare for historically underrepresented students and patient populations.
All qualified individuals are encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
University of Utah Health Hospitals and Clinics, a part of The University of Utah, is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability, please contact the University of Utah Health Hospitals and Clinics Human Resources office at 801-581-6500. If you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at:www.utah.edu/nondiscrimination/
Online reports may be submitted atoeo.utah.edu/
The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Hospitals and Clinics Human Resources at (801) 581-6500 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or Hospitals and Clinics Human Resources at (801) 581-6500 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
Requisition Number 85298
Reg/Temp Regular
Employment Type Full-Time
Shift Day
Work Schedule Mon-Fri 9-5
Clinical/Non-Clinical Status Non-Clinical
Location Name Information Technology Services
Workplace Set Up On-site
City SALT LAKE CITY
State UT
Department COR AFF 98A SVP OFFICE TRNSFRS
Category Information Technology
Workplace Set Up On-site
