165 machine-learning positions at University of Toronto

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

Academic Advisor and Project Administrator

prioritize student success, and seek to give our 16,500 students the lift of a lifetime through learning and discovery. We love to open opportunities available no where else for our community to achieve

Manager, Academic Programs, Reviews & Quality Assurance

. The incumbent will be responsible for managing a large volume of complex correspondence for the Vice-Dean, Teaching & Learning and the Assistant Dean that is directly relevant to confidential strategic planning

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

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

[Sessional Lecturer] Introduction to Reinforcement Learning - APS1080

of three facets of Machine Learning, RL has far broader scope than the narrower tools of supervised and unsupervised learning. RL, being founded on agent design, has the goal of developing artificial

Academic Coordinator

experiential learning and internationalization. The goal of our management program is to create opportunities forour students to learn and experience leadership by applying the latest management theory to real

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

Financial Administrator

communication skills (written and verbal), problem solving and organizational skills Strong computer skills with experience in Microsoft Word, Outlook, Excel, Power Point, SharePoint and Financial Information