Applied Ai Researcher

3 months ago


Toronto, Canada CIBC Full time

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

As an Applied AI Researcher, you will have an individual contributor (IC) role driving strategic direction through collaboration with Data Science, Engineering 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.

How You will Succeed- Applied AI competence: Tackle difficult and meaningful projects in domains such as systems based on foundation models, multi-agent AI, emerging AI experiences and responsible AI. Your work will make a significant difference in advancing cutting-edge technology and providing practical solutions to real-world problems.-
- Science-driven innovation: Work with other researchers, engineers, and product groups. Represent CIBC in the research community, collaborating with faculty members in the relevant AI research functions.

Who You Are- You have advanced interdisciplinary knowledge in deep learning, natural language processing, data science, and big data- You understand theoretical AI concepts and stay current with the progress of AI. You have a record of impactful projects and publications in related fields or top-tier conferences and journals- You can demonstrate excellent coding skills and hands-on experience working with large foundation models and related frameworks and toolkits, preferably Python. You are familiar with LLMs such as the OpenAI Generative Pre-Trained Transformers models, LLAMA etc., model finetuning methods, prompting methods, and model evaluation.- You have a PhD in computer science, mathematics, or other related disciplines, and 3+ years in related research experience, or relevant experience.- You are motivated by collective success. You value collaboration and know that it can make a good idea even better. You 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.

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 aspire to give you a career, rather than just a paycheck.- We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, 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.- We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
- Subject to plan and program terms and conditions

What you need to knowYou need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit. Job Location

Toronto-81 Bay, 21st Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

AI Programming, Application Programming Interface (API), Artificial Intelligence (AI), Big Data, Data Analysis, Data Science, Deep Learning, Machine Learning, Natural Language Processing (NLP), Pandas (Software), Python (Programming Language), Researching


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