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General Information

Work Location: Los Angeles, CA, USA
Onsite or Remote
Flexible Hybrid
Work Schedule
Monday-Friday 8 A.M.-5 P.M
Posted Date
04/13/2026
Salary Range: $17.9 - 47 Hourly
Employment Type
5 - Student: Casual/Restricted
Duration
Limited, 10 weeks
Job #
29690

Primary Duties and Responsibilities

Overview: The OHIA ML Engineering team is directly involved in all aspects of the AI/ML lifecycle, from interfacing with data scientists, writing code for production, and monitoring, maintaining, and retraining existing production models. The team uses a combination of SQL, Python, and Java for their software development and ML projects. The OHIA ML Engineering team also is responsible for developing and socializing OHIA’s MLOps practices across the UCLA Health IT (UHIT) organization.

Potential Projects: Summer interns are encouraged to participate in projects of their interest on OHIA’s Project roadmap. Projects available can be in areas of analytics delivery, data governance, AI usage, cloud strategy, and more.

Interns will gain hands‑on experience across the end‑to‑end data and AI lifecycle, including data engineering pipelines, feature platforms, MLOps practices, and high‑performance computing (HPC) environments using cloud‑based technologies such as Azure, AWS and Databricks.

 

By the end of the program, interns will:

Contribute production‑ready code to data, ML, or infrastructure platforms

Understand how enterprise AI/ML systems are designed, deployed, and governed in healthcare

Collaborate with data engineers, ML engineers, architects, and researchers

Deliver tangible artifacts aligned with UCLA Health analytics initiatives

Job Qualifications

Required:

  • Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field
  • Strong interest in data engineering, AI/ML, or compute infrastructure
  • Comfortable working in collaborative, production‑oriented engineering teams
  • Curious, detail‑oriented, and motivated to learn enterprise‑scale systems in healthcare

 

Desired Technical Skills

·       Programming Languages

o   Python, SQL, and Java for data engineering and ML development

·       Cloud & Data Platforms

o   Experience or interest in Azure and Databricks for analytics and ML workloads

·       Machine Learning & MLOps Concepts

o   Feature engineering, feature stores, CI/CD, model deployment and monitoring

·       Data Engineering Foundations

o   Building pipelines, reusable workflows, APIs, and data quality mechanisms

·       High Performance Computing & Infrastructure

o   Exposure to HPC, AI/ML compute environments, and research infrastructure


As a condition of employment, the final candidate who accepts an offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; or have filed an appeal of a finding of substantiated misconduct with a previous employer.