Sessional Lecturer - CSC2515HS - Introduction to Machine Learning

University Of Toronto; Toronto; On-site; CAD 14,000 - 18,000; Part time

Job summary

A leading university in Toronto is seeking a Sessional Lecturer to teach 'Introduction to Machine Learning'. This role involves preparing lectures, maintaining course content, and engaging with students. A graduate degree in Computer Science and previous teaching experience are required. The position offers a competitive salary based on qualifications and experience.

Qualifications

• Demonstrated expertise in machine learning required.
• Teaching experience at university level required.

Responsibilities

• Preparing and delivering lectures in person on campus.
• Maintaining course website and developing syllabus.
• Providing student contact hours outside class.

Skills

Organizational skills

Interpersonal skills

Communication skills

Expertise in machine learning

Education

Graduate degree in Computer Science or related field

Job description

Date Posted:
07/31/2025
Req ID: 44594
Faculty/Division: Faculty of Arts & Science
Department: Department of Computer Science
Campus: St. George (Downtown Toronto)

Description:

Course number and title: CSC2515HS - Introduction to Machine Learning

Please note, this position is a 0.5 FCE appointment.

Course description: Machine learning (ML) is a set of techniques that allow computers to learn from data and experience, rather than requiring humans to specify the desired behaviour manually. This course introduces the main concepts and ideas in ML and provides an overview of many commonly used machine learning algorithms. It also serves as a foundation for more advanced ML courses.

The students will learn about ML problems (supervised, unsupervised, and reinforcement learning), models (linear and nonlinear, including neural networks), loss functions (squared error, cross entropy, hinge, exponential), bias and variance trade-off, ensemble methods (bagging and boosting), optimization techniques in ML, probabilistic viewpoint of ML, etc.

Estimated course enrolment: 50 students

Estimated TA support: 90 hours of TA support

Class schedule: Wednesday 11:00-13:00

*Please note, the delivery method for this course is currently in-person. The section delivery method may change as determined by the Faculty or the Department.

Sessional dates of appointment: January 1, 2026 – April 30, 2026

Salary: Sessional Lecturer I = $14,125.85; Sessional Lecturer I - Long Term = $15,794.49; Sessional Lecturer II = $15,794.49; Sessional Lecturer II - Long Term = $16,906.58; Sessional Lecturer III = $16,906.58; Sessional Lecturer III - Long Term = $17,440.58;

Please note, if rates in the collective agreement vary, the rates in the agreement prevail.

Minimum qualifications

• Graduate degree in Computer Science or a closely related field required.
• Demonstrated expertise in the topic area of the course required.
• Strong organizational, interpersonal, and communication skills required.
• Teaching experience at the university level or equivalent industry level required.

Preferred qualifications

• Previous experience teaching undergraduate courses in Computer Science preferred.
• Evidence of excellence in teaching preferred.

Responsibilities:

• Preparing and delivering lectures in-person on campus.
• Handling course administration: maintaining the course website, developing syllabus, tutorial content, and assessments.
• Providing student contact hours outside class.
• Supervising TAs and managing grading.
• Invigilating exams and managing grades.
• Collaborating with a faculty supervisor on course content and assessments.

Instructors must follow the course content and style used by faculty members and consult with the department’s Teaching Support group when creating course materials.

Application instructions:

Apply via the provided form: https://forms.office/r/ah4pRCCj4x. Submit an updated CV and the CUPE 3902 Unit 3 application form at http://oft.me/CUPE-3902-Unit-3-Application-Form. Questions? Email: sessional_lecturercs.toronto.edu.

Additional info:

The university is committed to accessibility and accommodations for applicants with disabilities. For accommodations, email: sessional_lecturercs.toronto.edu.

Closing Date: 08/26/2025, 11:59PM EDT

This posting is in accordance with the CUPE 3902 Unit 3 Collective Agreement. Preference is given to qualified individuals advanced to Sessional Lecturer II or III. Applicants from Indigenous, Black, racialized, 2SLGBTQ+ communities, persons with disabilities, and other equity groups are encouraged to apply.