AI Scientist Co-op

We're building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what's right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you'll be doing

As an AI Scientist on the Enterprise Advanced Analytics and Artificial Intelligence team, you'll be at the forefront of developing and implementing cutting-edge AI solutions across CIBC. You'll leverage your expertise in Python, FastAPI, and API development to build scalable systems that automate the extraction of data elements from complex forms. Your role will focus on working with various large language models (LLMs), including prompt engineering and Retrieval-Augmented Generation (RAG), to optimize and customize AI capabilities for business needs. You will also contribute to agentic AI initiatives and incorporate advanced reasoning and summarization capabilities into our solutions. You'll lead LLM fine-tuning and customization initiatives, ensuring our AI solutions are robust, accurate, and tailored to enterprise requirements. Collaboration will be key as you partner with cross-functional teams to drive innovation and advance CIBC's data-driven culture.

At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

Important

• We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

• You must be currently enrolled in post-secondary education and returning to full-time studies to be eligible. However, you do not need to be in a registered Co-Op program to be considered for a role.

• Recruitment timeline: Applications review – May/ June; Interviews – June/ July; Offers – June July

• Please include your resume (no more than 2 pages), a cover letter (no more than 1 page), and your most recent unofficial transcript with your application. These should all be uploaded into the Resume section of the application as one pdf document

• This is an 8-month co-op opportunity.

How you'll succeed

• AI solution development – Design, build, and deploy AI-powered applications using Python, FastAPI, and APIs to automate data extraction, reasoning and summarization from forms.

• LLM customization and fine-tuning – Lead efforts to customize and fine-tune large language models, enhancing performance and relevance for enterprise use cases.

• Prompt engineering and RAG implementation – Develop and optimize prompts for LLMs, and implement Retrieval-Augmented Generation strategies to improve accuracy and efficiency.

• Technical collaboration – Work closely with data scientists, engineers, and business stakeholders to understand requirements and deliver impactful AI solutions.

• Innovation and research – Stay current with advancements in AI and machine learning, applying new techniques to solve business challenges.

Who you are

• You have strong technical expertise. You are proficient in Python coding, FastAPI, API development, and have hands-on experience with Documine or similar tools.

• You are experienced with LLMs. You have practical knowledge in working with large language models, including prompt engineering, RAG, customization, and fine-tuning.

• You are an innovator. You enjoy exploring new AI and machine learning techniques, applying them to automate processes and extract meaningful insights from data.

• You are a collaborator. You thrive in cross-functional environments, working closely with diverse teams to achieve shared goals.

• You have relevant education. You hold a degree or diploma in Computer Science, Data Science, Engineering, or a related field.

• Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability.

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential.

• We work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs and MomentMakers, our social, points-based recognition program.

• Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

*Subject to program terms and conditions

What you need to know

• CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

• CIBC is committed to clarity in our hiring process. All roles posted are opportunities we're actively recruiting for, unless stated otherwise.

• 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. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Expected End Date
2027-04-23

Job Location
Toronto-81 Bay, 21st Floor

Employment Type
Temporary (Fixed Term)

Weekly Hours
37.5

Skills
API Development, Artificial Intelligence (AI), Large Language Model (LLM) Fine-Tuning, Model Fine-Tuning, RAG Pipeline