Machine Learning Research Team Lead

RBC • Toronto, ON

4d • Onsite

About The Position

RBC Borealis is looking for a Machine Learning (ML) Research Team Lead to design and develop cutting-edge AI solutions that drive revenue growth within Personal Banking & Investments (PBI). You will lead a team of researchers and research engineers and operate at the intersection of advanced research and real-world applications, driving the translation of novel algorithms into scalable, production-ready systems. You’ll play a key role in shaping the AI research agenda while aligning innovation with enterprise priorities and regulatory expectations. This is an opportunity to influence the future of applied AI by delivering breakthrough capabilities that power intelligent, data-driven decision-making across the organization.

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

Benefits

• bonuses
• flexible benefits
• competitive compensation
• commissions
• stock options where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact from a local-to-global scale

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree