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The Advanced

Analytics and AI team is the centre of AI excellence within CIBC and is leading the way in applying the best practices in artificial intelligence, predictive science, and machine learning, leveraging the latest technology and platforms. We collaborate with the leading academic institutes in the space of AI and machine learning to promote the exchange of ideas and enrich our talent. The Applied AI Research team is at the heart of making our vision for AI at CIBC a reality.

Our work covers every aspect of the research life cycle, from partnering with Academia to building production systems. As an Applied AI Research Scientist, you will have an individual contributor (IC) role driving strategic direction through collaboration with AI Scientists, Engineers, and Product leaders across CIBC. You will play a crucial role in developing, improving, and exploring the capabilities of AI and Generative AI models.

To successfully perform the work, details on your work arrangement (proportion of on‑site and remote work) will be discussed at the time of your interview.

Applied AI competence: Tackle difficult and meaningful projects in domains such as foundation models, multi‑agent AI, and responsible AI.

Research skills: Evaluate and apply advanced research in deep learning, NLP, predictive modeling, and the related literature. Integrate state‑of‑the‑art tools, technologies, and methods to support the development and implementation of large generative models. Science‑driven innovation: Represent CIBC in the research community,



collaborating with faculty members in the relevant AI research functions.

You can demonstrate excellent coding skills and hands‑on experience in large‑scale model training with GPU acceleration. You have advanced interdisciplinary knowledge in deep learning, natural language processing, and big data. You have track record of impactful projects and publications at top‑tier venues (NeurIPS, ICLR, Nature, etc.).

You understand foundation model architecture, methods for pretraining and post‑training, and model efficiency You have a PhD in deep learning, or other related disciplines, and 3+ years in related research experience OR equivalent experience. Hands‑on experience building end‑to‑end solutions with Large Language Models, or experience using cloud platforms and Databricks, are considered assets. We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a advantages program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points‑based recognition program.

You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit. We may ask you to complete an attribute‑based assessment and other skills test (such as simulation, coding, French proficiency). We use artificial intelligence tools during the recruitment process.

Artificial

Intelligence (AI), Big Data, Critical Thinking, Deep Learning, Machine Learning (ML), Natural Language Processing (NLP), PL/SQL (Programming Language), Python (Programming Language), PyTorch, Statistical Analysis #

📌 AI Research Scientist/Machine Learning (Toronto)
🏢 CIBC
📍 Toronto