Machine Learning Specialist (flex – hybrid)

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Machine Learning Specialist (flex – hybrid)

Work Location Los Angeles,CA Job #25844 Work Hours Monday-Friday, 8:00 AM – 5:00 PM PST Employment Type 2 – Staff- Career

Duration Indefinite Salary Range $83800-179400 Annually Posted Date July 22, 2025 Bargaining Unit 99

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Provide the tools necessary to deliver cutting-edge health care and groundbreaking research. As part of our Information Technology team, you’ll ensure that our medical professionals have access to the latest breakthroughs in technology, and you’ll play a key role in protecting our global patient community.

• JOB DUTIES
• JOB QUALIFICATIONS

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.

JERRY

Your career path at UCLA Health will enable you to follow a myriad of avenues and turns. It opens up a wide variety of opportunities.

ORLANDO

There’s a togetherness and higher level of commitment to teamwork at UCLA Health. We are several groups and teams that work together with a common goal which is to improve our patients experience.

DAVID

UCLA Health walks the walk and talks the talk! It's an incredible feeling to work for an organization that always puts the patient first. I am honored to work in full alignment with the UCLA Health Mission and Vision.

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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

Benefits

• Duration Indefinite Salary Range $83800-179400 Annually Posted Date July 22, 2025 Bargaining Unit 99
• 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
• Disability Accommodation Resources
• Privacy Practices

Responsibilities

• Provide the tools necessary to deliver cutting-edge health care and groundbreaking research
• As part of our Information Technology team, you’ll ensure that our medical professionals have access to the latest breakthroughs in technology, and you’ll play a key role in protecting our global patient community
• This role drives the development and validation of AI/ML models that empower data-driven decision-making across clinical, financial, and operational domains
• 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
• 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
• 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