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