Senior ML Platform Engineer - Healthcare AI & Production Systems
University of Utah Health28 days ago
Salt Lake City, UT, USASenior
Responsibilities
- Create, manage, maintain, and refactor ML codebases, pipelines, and workflows.
- Collaborate with research, medical, engineering, product, and stakeholder teams to design and implement ML approaches.
- Implement scalable ML methods and workflows for high-performance computing resources.
- Develop deployable healthcare solutions and scalable, reliable services.
- Write efficient systems code and tests, review other developers’ code, and provide feedback on quality, accuracy, testability, and efficiency.
- Troubleshoot data-analysis, implementation, hyperparameter, modeling, and distributed-systems issues.
- Lead dependency identification and design-document development for products, applications, services, or platforms.
- Monitor systems and services on call for degradation, downtime, or interruptions.
- Assist with manuscripts and dissemination of research results.
- Execute work independently, communicate with stakeholders, and manage multiple projects.
Requirements
- Bachelor’s degree in a relevant field is required.
- Five years of software engineering experience is required.
- Hands-on coding experience with C++, Python, PyTorch, or TensorFlow.
- Understanding of supervised and unsupervised learning, reinforcement learning, and machine learning.
- Ability to write efficient systems code and tests and debug distributed systems.
- Preferred experience includes complex academic medical centers, large multimodal healthcare datasets, software lifecycle management, shipped products, and scalable reliable services.
- Preferred experience includes asynchronous programming and concurrency using threads, tasks, futures, or async/await.
- Preferred experience includes Azure Kubernetes Service, Amazon Elastic Kubernetes Service, or Google Kubernetes Engine.
- Preferred experience includes database engines, query engines, indexing solutions, CUDA, AI systems at scale, networking, distributed systems, and lower-level infrastructure.
- Preferred experience includes live-site operations, Site Reliability Engineering, production support, accessible technologies, software test engineering, and AI agents.
Benefits
- 50% tuition reduction for eligible employees attending the University of Utah.
- Health, dental, and life insurance coverage.
- Retirement benefits, paid time off, and 11 paid holidays per year.
- Monday-Friday, 9 AM-5 PM schedule at 102 Tower in downtown Salt Lake City.
- Onsite interviews in Salt Lake City are required, and the role involves close collaboration with cross-functional teams.
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