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Introduction to Machine Learning Staff TA - College of Engineering - Integrated Innovation Institute

Carnegie Mellon University

Salary not specified
Dec 10, 2025
Palo Alto, CA, US
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Carnegie Mellon University's Introduction to Machine Learning course needs a Teaching Assistant to support the instructor and provide an effective learning experience for students

Requirements

  • Familiarity with Google Suite tools
  • Strong written and verbal communication skills in English
  • Interest in a reflective team process
  • Previous experience as a student in the Introduction to Machine Learning course or recent industry experience in software development and project management (minimum 4 years)

Responsibilities

  • Assist the instructor in providing an effective learning experience for students enrolled in the course
  • Manage course activity online in Canvas, including but not limited to supervising student submissions, helping to ensure appropriate structure, format, and best practices are followed in all submitted deliverables
  • Review student drafts and final assignments, providing actionable, constructive feedback, notes, scores, and corrections as appropriate
  • Hold office hours for 90 minutes per week to assist students as needed
  • Clarify instructions for assignments to students, as needed, through office hours or email, or via Canvas discussion forums
  • Meet with students and teams, as requested by the instructor, for the purpose of additional explanation and guidance on the assigned work
  • Attend all class meetings for one section each week, for the full duration of the semester

Other

  • A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered
  • Successful Background Check
  • Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University
  • Ability to effectively interact with a varied population of internal and external partners at a high level of integrity
  • Degree requirements not specified, but current students and alumni are encouraged to apply