What's the opportunity?
RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.
We are seeking a Staff Researcher in Generative AI. The role focuses on technical leadership with the goal of delivering Generative AI-based products for the financial services industry. The candidate will play a critical role in shaping and leading our Generative AI technical work, reputation, and practice. The role includes engagement with technical and business stakeholders to shape and deliver on project roadmaps. Mentorship and contributions to talent development is a core component of the role.
Your responsibilities include:
- Technical Leadership. Provide technical leadership and scientific guidance to Generative AI projects, working within and across teams;
- Research Innovation. Develop innovative machine learning approaches and novel intellectual property;
- Product Delivery. Iteratively refine and deliver machine learning concepts from proof of concept through to product delivery;
- Research Leadership. Contribute to defining our research vision, publish papers, and communicate internally and externally around machine learning research;
- Mentorship. Collaborate with team members including other researchers, engineers, and interns to grow and develop their skills in Generative AI research.
You’re our ideal candidate if you:
- A Ph.D. degree in Computer Science or a related technical field;
- Expertise in machine learning, specifically large language models (LLMs), self-supervised learning, and AI safety (fairness, interpretability, human-centric AI);
- 5 years of experience as a machine learning researcher in a product-centric environment or equivalent experience;
- A track record of mentorship including junior researchers and engineers and experienced high-performance researchers;
- Experience delivering high-impact machine learning products;
- Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
- The ability to formulate and drive a research project independently;
- Exceptional communication skills;
- A history of high quality academic publications (e.g., NeurIPS, ACL, EMNLP, CVPR, ICLR, ICML etc.).
About RBC Borealis
RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.
Inclusion and Equal Opportunity Employment
RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.