RBC Borealis ML Research Engineer Role

Elevate your career at RBC Borealis as a Machine Learning Research Engineer. Utilize your expertise in generative AI and time series analysis to create transformative machine learning solutions.

This full-time position based in Toronto offers the chance to work with state-of-the-art datasets and computational resources. You will be pivotal in end-to-end AI project development, from data exploration to implementing new algorithms. Collaboration with a dynamic team is key to understanding and meeting business objectives.

Key Responsibilities:

• Design and build machine learning-based software products
• Rapidly prototype solutions in partnership with business teams
• Compare algorithm performance and enhance existing models
• Optimize prototypes for deployment and use
• Create reusable tools to aid research prototyping

Requirements:

• Postgraduate degree in a technical field
• At least 2 years of hands-on machine learning experience
• Proficient in Python and experienced with deep learning frameworks
• Understanding of professional software development practices
• Strong teamwork and communication abilities

Bring your skills in machine learning and AI to RBC Borealis, where innovative research meets real-world impact.