University of Toronto
Teaching Machine Learning Systems at UT Toronto
Job Description
Lead the INF2205H course on designing resilient machine learning systems at the University of Toronto in the upcoming Winter Term 2027. Engage students with MLOps insights.
This role at the University of Toronto seeks a Sessional Lecturer for the INF2205H course, emphasizing sustainable machine learning. Applicants should ideally possess a completed PhD or a Master's with strong professional expertise in the field. Responsibilities include course preparation, engaging lectures, and assessment of student performance throughout the term.
Key Responsibilities:
• Develop comprehensive course materials and deliver lectures
• Administer exams and assignments to assess student learning
• Facilitate interactive seminar and lab sessions
• Provide consistent office hours for student questions
• Remain adaptable to diverse student needs
Requirements:
• PhD or Master's degree in relevant discipline
• Teaching experience in higher education preferred
• Deep understa...
This role at the University of Toronto seeks a Sessional Lecturer for the INF2205H course, emphasizing sustainable machine learning. Applicants should ideally possess a completed PhD or a Master's with strong professional expertise in the field. Responsibilities include course preparation, engaging lectures, and assessment of student performance throughout the term.
Key Responsibilities:
• Develop comprehensive course materials and deliver lectures
• Administer exams and assignments to assess student learning
• Facilitate interactive seminar and lab sessions
• Provide consistent office hours for student questions
• Remain adaptable to diverse student needs
Requirements:
• PhD or Master's degree in relevant discipline
• Teaching experience in higher education preferred
• Deep understa...