Applied AI Research Scientist

CIBC•Toronto, ON

2d•Hybrid

About The Position

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. At CIBC we enable the work environment most optimal for you to thrive in your role. 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.

Requirements

Excellent coding skills and hands-on experience in large-scale model training with GPU acceleration.
Advanced interdisciplinary knowledge in deep learning, natural language processing, and big data.
Track record of impactful projects and publications at top-tier venues (NeurIPS, ICLR, Nature, etc.).
Understand foundation model architecture, methods for pretraining and post-training, and model efficiency.
PhD in deep learning, or other related disciplines, and 3+ years in related research experience OR equivalent experience.
You are motivated by collective success.
You value collaboration and embrace the power of an inclusive team that enjoys working together to achieve a shared vision.
Values matter to you.
You bring your real self to work and you live our values- trust, teamwork and accountability.

Nice To Haves

Hands-on experience building end-to-end solutions with Large Language Models
Experience using cloud platforms and Databricks

Responsibilities

Tackle difficult and meaningful projects in domains such as foundation models, multi-agent AI, and responsible AI.
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.
Work with other researchers, engineers, and product teams.
Represent CIBC in the research community, collaborating with faculty members in the relevant AI research functions.

Benefits

Competitive salary
Incentive pay
Banking benefits
A benefits program
Defined benefit pension plan
Employee share purchase plan
A vacation offering
Wellbeing support
MomentMakers, our social, points-based recognition program
Purpose Day; a paid day off dedicated for you to use to invest in your growth and development