Machine Learning Research Team Lead

RBC • Toronto, ON

2d • Onsite

About The Position

RBC Borealis is looking for an enthusiastic Research Team Lead who’s excited by the opportunity of being at the forefront of machine learning technology and working on extremely challenging problems in the financial services industry. As a Research Team Lead, you’ll be part of a collaborative team delivering AI projects end to end – everything from scoping and defining the AI problem, to data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. At RBC Borealis you’ll be joining a team that works directly with leading researchers in machine learning; and you’ll have access to rich and massive datasets and to the computational resources that support cutting-edge machine learning R&D.

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
• Experience as a people manager
• Expertise in machine learning, with experience with large language models and natural language processing 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.)

Nice To Haves

• Experience with large language models and natural language processing

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

What This Job Offers

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