Machine Learning Specialist (flex - hybrid)

General Information

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Work Location: Los Angeles, CA, USA Onsite or Remote Flexible Hybrid Work Schedule Monday-Friday, 8:00 AM - 5:00 PM PST Posted Date 07/22/2025 Salary Range: $83800 - 179400 Annually Employment Type 2 - Staff: Career Duration Indefinite Job # 25844

Primary Duties and Responsibilities

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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.

Job Qualifications

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·       Undergraduate degree in engineering, computer science, information systems, or other related field is required

·       1 – 3 years of experience with Python programming required

·       Familiarity with applying machine learning techniques and concepts within practical implementations in healthcare domains preferred

·       Experience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.

·       Experience with Databricks, LLMs, and other generative AI technologies preferred

·       Experience with ETL/ELT, data warehousing/data marts and exposure to data services, API development and REST architecture

·       Experience in analysis, data relationships, data aggregation, and summarization with the ability to consolidate data from disparate systems is preferred.

·       Experience with integrating Artificial Intelligence & Machine Learning governance tools, processes, and frameworks

·       1 – 3 years of SQL programming skills, particularly for Oracle, Microsoft SQL Server, and Databricks (ANSI) SQL preferred

·       Exposure to software product configuration, requirements capture, configuration and deployment

·       Experience with software implementation methodologies, Agile, SCRUM

·       Experience with software Development Lifecycle and environment promotion

·       Ability to comprehend relationships among data field elements in the Epic electronic health record, such as flowsheets, notes, encounters, lab results, billing, and paid claims.

·       1 – 3 years of work experience with health care data is preferred

·       Some exposure with software implementation of healthcare data

·       Ability to communicate clearly and effectively with business partners and business experts

·       Strong attention to detail, along with effective problem solving and analytical skills