Description

UCLA Health is seeking an innovative Machine Learning Specialist to help shape the future of healthcare through artificial intelligence. This role drives the development and validation of AI/ML models that empower data-driven decision-making across clinical, financial, and operational domains.

What You’ll Do Design, test, and validate AI/ML models using structured and unstructured healthcare data Contribute to MLOps process improvements and the adoption of robust governance policies Develop standards, documentation, and training materials to support enterprise-wide AI/ML efforts Collaborate with cross-functional teams to solve complex organizational challenges Translate domain knowledge into scalable technical solutions that support UCLA Health’s mission What You Bring Expertise in machine learning, software engineering, and data science Understanding of healthcare workflows across clinical, financial, and operational domains Ability to communicate complex technical concepts clearly to diverse audiences Passion for advancing healthcare through innovation and collaboration

This flexible hybrid role allows for a blend of remote and on-site work, requiring presence on-site at least 10%, within 48 hours of being asked to come in, and as needed based on operational requirements. Please note, travel to the “home office” location is not reimbursed. Each employee will complete a FlexWork Agreement with their manager to outline expectations and ensure mutual understanding. These arrangements are periodically reviewed and may be adjusted or terminated as necessary. 

Salary offers are based on a variety of factors including qualifications, experience, and internal equity. The full salary range for this position is $83,800 – $179,400 annually. The University anticipates offering a salary between the minimum and midpoint of this range.