Senior ML Researcher Lead

RBC•Toronto, ON

8d•Onsite

About The Position

RBC Borealis is at the forefront of artificial intelligence research and development, driving the innovative edge for the Royal Bank of Canada (RBC). Our team is dedicated to advancing the science of AI, delivering cutting-edge solutions that create substantial value for RBC and its customers. As part of RBC, you will have the opportunity to contribute to impactful projects within a leading financial institution, harnessing the power of AI to revolutionize the financial services industry. We are looking for a Senior Researcher Team Lead for AI Solutions. The role focuses on technical leadership with the goal of delivering products for the financial services industry. The candidate will play a critical role in shaping and leading our product, technical solution, 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 also a core component of the role.

Requirements

A Ph.D. degree in Computer Science or a related technical field
At least 2 years of experience as a machine learning researcher or engineer in a product-centric environment or equivalent experience
Expertise in machine learning, with experience in recommender systems, experimental design, or reinforcement learning being a plus
Experience delivering high-impact machine learning products
Experience of mentorship including junior researchers and engineers and experienced high-performance researchers
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.)

Responsibilities

Provide technical leadership and scientific guidance to AI projects, working within and across teams
Develop innovative machine learning approaches and novel intellectual property
Iteratively refine and deliver machine learning concepts from proof of concept through to product delivery
Contribute to defining our research vision, publish papers, and communicate internally and externally around machine learning research
Collaborate with team members including other researchers, engineers, and interns to grow and develop their skills in AI research and solutioning