UNC
Machine Learning Engineer
This job is now closed
Job Description
- Req#: 282134
The Department of Radiation Oncology within the UNC School of Medicine is seeking a dedicated Machine Learning Engineer with a passion for AI in healthcare to serve as a fixed term faculty member at .75 FTE at the rank of Research Instructor. The position will include working with AI fundamentals, Python programming, and ML libraries such as PyTorch. This role involves working with limited supervision to develop and implement effective ML software following current best practices, detailed technical instructions, and contributing to our goals of advancing safety in radiation therapy.
Responsibilities include:
* Develop and implement machine learning models using Python and libraries like PyTorch, possibly using LLMs or ensemble techniques specifically for applications in Radiation Oncology.
* Collaborate with healthcare professionals and researchers to understand clinical needs and translate them into technical requirements.
* Process and analyze medical imaging data, including MRI, CT scans, structured data and free form text, using AI to detect areas of high risk.
* Ensure the accuracy, reliability, and clinical applicability of AI models through rigorous validation and testing.
* Document and communicate model development processes, architecture, and performance metrics to both technical and non-technical stakeholders.About the company
The University of North Carolina at Chapel Hill is a public research university in Chapel Hill, North Carolina.
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