Senior Machine Learning Engineer

The University of Utah Health Innovation Office is expanding its capacity to turn healthcare data into practical, high-impact solutions. This onsite Senior Machine Learning Engineer role in Salt Lake City focuses on designing, testing, deploying and refining ML and AI systems for healthcare informatics, collaborating closely with research, medical and engineering teams to advance patient care.

Responsibilities

• 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.
• Reviewing code developed by other developers and providing 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 decisions.
• Assisting in preparation of manuscripts and dissemination of results in the appropriate venues.
• Conducing tasks independently and communicating optimally to team members and stakeholders.
• Developing deployable solutions for the health care system.

Requirements

• Bachelor’s degree in a relevant field.
• 5 years of experience in software engineering.

Technologies

• C++, Python, PyTorch, Tensorflow, CUDA
• Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE)

Overview

University of Utah Health is a patient-centered organization dedicated to improving health and well-being through patient care, research, and education. The culture emphasizes collaboration, excellence, leadership, and respect, guided by values such as compassion, collaboration, innovation, responsibility, integrity, quality, and trust in service to our mission.

Working Conditions and Physical Demands

This is a sedentary position that may require lifting up to 10 pounds and may involve sitting for long periods. The work environment is on-site and generally free from adverse conditions.

Physical Requirements

Listening, Sitting, Speaking, Standing, Walking

Inquiries

For posting inquiries, please email [email protected]

EEO Statement

University of Utah Health Hospitals and Clinics values candidates from diverse backgrounds and is committed to expanding access to higher education and quality healthcare for historically underrepresented groups. All qualified individuals are encouraged to apply. Veterans’ preference is available to qualified applicants upon request.

Requisition Number

82829

Job Details

• REG/TEMP: Regular
• EMPLOYMENT TYPE: Full-Time
• SHIFT: Day
• WORK SCHEDULE: Mon-Fri 9-5
• 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