163 machine-learning positions at University of Toronto in Canada

[Sessional Lecturer] Foundations of Data Analytics and Machine Learning - APS1070

: Position: Sessional Lecturer I (1 position available) Course title and code: Foundations of Data Analytics and Machine Learning - APS1070 Course description: (1) Python programming (basic structures

[Sessional Lecturer] AI in Finance - APS1052

: Position: Sessional Lecturer I (2 positions available) Course title and code: AI in Finance  - APS1052 Course description: In this course we’ll give an overview of several applications of machine learning

Program Manager, Experiential & Global Learning

transformative learning, insights and public engagement, bringing together diverse views and initiatives around a defining purpose: to create value for business and society. We make a fundamental promise – Here’s

Indigenous Learning Strategist

Life connects life to learning. We believe every student should have the opportunity to participate in university life actively and find connection and community while discovering new ways of thinking

Academic Programs Lead (Term)

the best possible online, in-person, and hybrid language learning experiences. Our engaging experiential programming complements the in-class experience by providing opportunities for learners to use

Research Associate (Limited Term)

of Post-doctoral experience with demonstrated academic and research expertise in the field of distributed systems. Skills – Strong background in distributed systems and machine learning. Ability to work

Director, Applied Technologies

managing resources and services to support a diverse array of needs and to support an environment of    seamless teaching, training, learning, and event execution. The Director continually assesses

Experiential Learning Officer

. Must have strong computer skills, including the use of Microsoft Word, Excel, PowerPoint, Adobe creative suite, and email software, as well as an ability to adapt to and learn new technologies. Excellent

Data Specialist

skills required to perform statistical analyses Applied knowledge of machine learning techniques such as regression, classification, natural language processing. Strong verbal and written communication

Sessional Lecturer - APS360H1 Y Applied Fundamentals of Deep Learning

to fairness and ethics issues surrounding machine learning. An applied approach will be taken, where students get hands-on exposure to the covered techniques through the use of state-of-the-art machine learning