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Academic Freedom. Massive Datasets. Global Impact.

  • Freedom

    Take your ideas and research anywhere you want to go, working with researchers from top academic groups in Machine Learning, Computer Vision, and Natural Language Processing. Drive the state-of-the-art while publishing your work in top-tier academic conferences and journals.

  • Data

    Work with massive datasets from decades of real market data. Datasets that can fuel state-of-the-art research in NLP, time-series analysis, graph mining, deep learning, and reinforcement learning.

  • Impact

    Develop resources that will be used by millions of people around the world. Apply research findings and solve important business and data problems for one of the world’s largest banks and Canada’s biggest company.

Research Areas

Reinforcement Learning
Natural Language Processing
Information Retrieval
Deep Learning
High Performance Computing
Unsupervised Learning
Visualization
Optimization in Machine Learning
Time-Series Analysis
Cybersecurity

2017-01-16

  • Prof. Rich Sutton Joins RBC Research as Head Academic Advisor

    • We are thrilled to announce that Prof. Richard Sutton, a leading pioneer in AI, is joining RBC Research as Head Academic Advisor. Prof. Sutton is widely recognized for his work in reinforcement learning (RL), a field best known for the widely-publicized event in 2016 when DeepMind’s AlphaGo machine beat the human world-champion in the game of Go.

      Reinforcement learning was recently named as the number one prediction for Artificial Intelligence in 2017 by the MIT Technology Review. The power of RL lies with the fact that it enables predictions without historical data. It is also particularly suited for time-series predictions which is central to financial analytics and forecasting.

Careers

Working for a bank doesn’t mean you have to number-crunch in a cubicle. Forget about the “9-5” mentality, timesheets, and Gordon Gekko three-piece suits. RBC Research offers a stimulating work environment and the platform to do world-class machine learning. If contemplating how machines can autonomously build knowledge from observation is what you do in your spare time, then you are one of us. We move quickly, we challenge each other, and we are here to invent the future of banking. We do research.

Contact Us

101 College St., Suite 350 (MaRS Heritage Building) Toronto, ON M5G 1L7