Senior Machine Learning Engineer position at University of Utah Health, onsite in Information Technology Services, Salt Lake City, Utah.
Responsibilities
- Develop, maintain, refactor, and manage ML codebases, pipelines, and workflows for the Innovation Office.
- Collaborate with research, medical, and engineering staff to design and implement ML approaches.
- Implement scalable ML methods and workflows for high-performance computing resources in close partnership with research and technical teams.
- Conduct code reviews for peers, ensuring adherence to style guidelines, proper versioning, accuracy, testability, and efficiency.
- Troubleshoot data analysis and modeling issues, including implementation challenges, hyperparameter tuning, and modeling decisions.
- Assist in preparing manuscripts and disseminating results in appropriate venues.
- Work independently and communicate effectively with team members and stakeholders.
- Develop deployable ML 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-focused organization dedicated to improving health and well-being through care, research, and education. The institution emphasizes collaboration, excellence, leadership, and respect, with values including compassion, collaboration, innovation, responsibility, integrity, quality, and trust. EO/AA.
Working conditions and physical demands
This is a sedentary role that may involve minimal lifting up to approximately 10 pounds. The position is primarily office-based, with seated duties and no exposure to adverse environmental conditions.
Physical requirements
- Listening
- Sitting
- Speaking
- Standing
- Walking
How to inquire about this posting
For inquiries, please email careers@hsc.utah.edu.
Requisition information
Requisition number: 82829
Employment details
- Employment type: Full-Time
- Shift: Day
- Schedule: Mon-Fri 9-5
