Machine Learning Specialist (flex – hybrid)
Veterans in Healthcareabout 1 month ago
Los Angeles, CA
Hybrid
Full-time
Junior Level (1-3 years)
Job Description
Position Overview
UCLA Health is seeking an innovative Machine Learning Specialist (flex – hybrid) to help shape the future of healthcare through artificial intelligence. In this role you will develop and validate AI/ML models that empower data-driven decision-making across clinical, financial, and operational domains.
Work Location:Los Angeles, CA |Work Hours:Monday-Friday, 8:00 AM – 5:00 PM PST |Employment Type:Staff – Career
Key Responsibilities
- 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
Required Qualifications
- 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
Compensation & Benefits
- Salary:$83,800 – $179,400 annually (Salary offers based on qualifications, experience, and internal equity; anticipated offer between the minimum and midpoint of this range)
- Hybrid Work Arrangement:Flexible hybrid role with remote options and required on-site presence (at least 10% and within 48 hours upon request)
Required Skills
Python
healthcare IT
PyTorch
MLOps
software engineering
collaboration
TensorFlow
data science
machine learning