Machine Learning Research Engineer

RBC Borealis, an RBC Institute for Research, is seeking a Machine Learning Research Engineer to join their innovative team across multiple Canadian locations. This role offers an exciting opportunity to work at the intersection of research and practical application in machine learning, with access to rich datasets and substantial computational resources. The position involves developing cutting-edge solutions in areas such as generative AI, natural language processing, and time series analysis.

The ideal candidate will have at least 2 years of applied ML experience and an advanced degree, combining technical expertise with strong collaborative skills. You'll be working in a team of leading researchers and engineers, building end-to-end ML solutions from prototyping to production implementation. The role offers exposure to diverse projects and the chance to work with state-of-the-art technologies.

RBC Borealis, established in 2016, has labs in Toronto, Montreal, Waterloo, and Vancouver, fostering academic collaborations and partnerships with world-class research centres. The company emphasizes ethical AI development and offers comprehensive benefits including competitive compensation, bonuses, and stock options. This position provides an excellent opportunity to make a meaningful impact while working with cutting-edge ML technologies in a supportive, growth-oriented environment.

The role combines research innovation with practical implementation, requiring both technical depth and the ability to collaborate effectively with various stakeholders. You'll be part of a team that values continuous learning and professional development, with access to leadership support and coaching opportunities.