Professor in Toronto

Join the Renewed Seneca, The Next Seneca. At Seneca Polytechnic, we offer a flexible working environment that supports innovative thinking and encourages exploring new ideas and approaches. As we adapt to an ever-changing landscape, we continue to promote opportunities for career growth and development. We focus on health and well-being in all ways to provide great employee experience.

Do you believe in the power of education to transform lives and communities? Are you passionate about advancing the future of artificial intelligence and helping students develop expertise in one of the fastest-growing areas of technology? Seneca invites you to join a dynamic faculty dedicated to delivering education beyond the classroom, preparing students to create innovative AI solutions that address real-world challenges.

Here is What's on Your Horizon:

• Faculty/School: School of Software Design & Data Science
• Courses/Programs: MAI203 – Natural Language Processing, SEA820 – Natural Language Processing
• Campus: Newnham

We welcome applications for part-time professors (Winter term). Course assignments are based on scheduling needs, with contracts typically up to 6 hours per week. Daytime on-campus availability is preferred.

Responsible for providing academic leadership in the classroom and ensuring an effective and engaging learning environment for students. You will…

• Ensure student awareness of course objectives, learning outcomes, and evaluation methods.
• Deliver scheduled instruction using applied and experiential teaching approaches.
• Facilitate hands-on learning activities and projects using current AI and NLP tools and technologies.
• Provide academic guidance and mentorship to support student success.
• Evaluate student progress and assume responsibility for the overall assessment of student learning.
• Foster an inclusive and collaborative learning environment that encourages innovation and critical thinking.

What You Bring to Seneca Education:

• Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a closely related discipline.
• PhD in a closely related field preferred.
• Professional Engineer (P.Eng.) designation is considered a strong asset, particularly for candidates with experience applying AI in engineering or technology environments.
• Industry experience applying Natural Language Processing (NLP), Large Language Models (LLMs), generative AI, or machine learning to real-world software, business, research, or data applications.
• Experience developing, fine-tuning, evaluating, or deploying NLP and AI solutions.
• Demonstrated post-secondary teaching experience in Natural Language Processing, machine learning, deep learning, artificial intelligence, or related subject areas is preferred.
• Experience incorporating current industry tools, frameworks, and best practices into teaching and learning activities.

Skills:

• Demonstrated expertise in Natural Language Processing, text mining, and machine learning.
• Experience with modern natural language processing and large language model technologies, including transformer-based architectures.
• Familiarity with modern NLP and generative AI techniques, including BERT, GPT, LLMs, transfer learning, and model fine-tuning.
• Experience applying NLP to text classification, chatbots, conversational AI, information retrieval, and other language-based applications.
• Proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers.
• Experience with model evaluation, performance optimization, and hyperparameter tuning.
• Knowledge of prompt engineering and practical applications of generative AI technologies.
• Understanding of ethical and responsible AI considerations, including bias, fairness, privacy, transparency, and governance.
• Strong communication, collaboration, analytical, and problem-solving skills.
• Commitment to equity, diversity, inclusion, accessibility, and student success.

Job Details:

• External Posting Date: October 6th, 2026
• External Closing Date: Until Filled
• Job Type: Temporary, Part-Time
• Hours: TBC
• Work Type: Flex Delivery in-person, online, hybrid and flexible
• Shift: TBC
• Ideal Start Date: Winter Term
• Number of Openings: 1
• Posting Intent: Immediate Need
• Pay Range: PT&S1 Min. rate is $85.46/hr incl. vacation, preparation & evaluation
• Job Category: Faculty

Pre-Employment Verification Process: For Administrative and Support roles, Seneca conducts standard pre-employment verification after a conditional offer of employment is made. For professor positions, we require copies of official transcripts directly from the issuing institution or credential evaluation from World Education Services (WES) or International Credential Assessment Service (ICAS). However, we recommend that candidates gather any supporting documentation (e.g., unofficial transcripts, scan of credentials) in advance to support their applications in the event that they are successful in the hiring process. The compensation step will be determined based on receiving and verifying relevant formal education through official transcripts and relevant work experience, in accordance with the salary placement calculation process.

Seneca Polytechnic at a Glance: Seneca is Canada's leading, and Ontario's first, polytechnic with more than 40,000 full-time students and 18,500 part-time students. Since opening our doors for the first time more than 55 years ago, we remain dedicated to getting our students career and world-ready.

Our Commitment: We are proud to be building the equitable Seneca, and welcome applications from candidates who can contribute to the diversity of lived experiences, perspectives, and approaches. Joining Seneca means being part of an inclusive community working hard to dismantle barriers to access, student success, and employee potential.

Accessibility: Seneca is committed to making employment opportunities accessible in accordance with the Accessibility for Ontarians with Disabilities Act, 2005. Upon request, accommodation will be provided in all parts of the application and hiring process. If you require accommodation, please contact jobs@senecapolytechnic.ca.