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Machine Learning Engineer Coordinator

Inside Higher Ed

$75,000 - $90,000
Oct 25, 2025
Gainesville, FL, United States of America
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The University of Florida Lastinger Center for Learning aims to improve the quality of teaching, learning, and childcare by researching, developing, and scaling educational innovations. This role will leverage machine learning and data engineering to develop predictive models for learner success and to support personalized learning paths, ultimately contributing to the center's mission of improving educational outcomes.

Requirements

  • Strong proficiency in machine learning frameworks and tools such as Azure ML, Snowflake, or PyTorch.
  • Expertise in programming languages (Python, SQL) and cloud platforms.
  • Demonstrated capability in designing and managing data infrastructure and pipelines.
  • Extensive experience in machine learning, data engineering, and DevOps practices.

Responsibilities

  • Develop, test, deploy, and monitor machine learning models aimed at improving learner retention, performance, and predictive analytics.
  • Develop early-warning models to flag at-risk learners and recommend interventions.
  • Create mastery prediction models to support personalized learning paths.
  • Conduct A/B testing and experimentation to validate predictive model effectiveness.
  • Design, implement, and maintain scalable data pipelines to support learning analytics projects.
  • Ensure data integrity, reliability, and compliance with privacy standards and educational data regulations.
  • Lead DevOps processes for the Learning Analytics environment.

Other

  • Associate's degree and two years of relevant experience; or a high school diploma or equivalent and four years of relevant experience. Appropriate college coursework or vocational/technical training may substitute at an equivalent rate for the required experience.
  • Bachelor's degree and five years of appropriate experience.
  • Exceptional analytical, collaborative, and problem-solving skills.
  • Strong communication skills to effectively translate analytics results into actionable insights.
  • Previous experience working in educational technology and learning analytics environments.