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Machine Learning Researcher

2 months ago

Toronto, Ontario, Canada Borealis AI Full time
About the Opportunity

We're seeking a highly skilled Machine Learning Researcher to join our team at Borealis AI, a research centre dedicated to achieving state-of-the-art in machine learning. As a key member of our team, you'll have the opportunity to work on a wide range of theoretical and applied machine learning projects, leveraging massive structured and unstructured datasets to build game-changing statistical models.

Key Responsibilities
  • Develop novel AI solutions that drive impactful products and services
  • Conduct original, publishable research by advancing the state-of-the-art in machine learning techniques
  • Collaborate with the development team to transfer research work into production
  • Interpret larger organizational needs and design algorithmic solutions that drive business growth
  • Stay up-to-date with the latest AI technologies and disseminate them into our technology capabilities
Requirements
  • PhD in a sub-area of AI or demonstrated research track record through publications and/or sophisticated AI product experience
  • Ability to formulate and drive a research project independently without close supervision
  • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch
What We Offer
  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable
  • Leaders who support your development through coaching and managing opportunities
  • A collaborative and inclusive work environment that values diversity and innovation
About Borealis AI

Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. With labs in Toronto, Montreal, Waterloo, and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. Our focus is on ethical AI that helps communities thrive, and we're committed to making a lasting impact from a local-to-global scale.