Junior Machine Learning Developer – Toronto & Edmonton

What’s the opportunity?

RBC Research Institute is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

We’re looking for a self-motivated full stack developer on co-op with a strong fundamental computer science background. You’re excited by being at the forefront of machine learning technology, working on extremely challenging problems, and you want to create massive impact. As Junior Machine Learning Developer, you’ll be responsible for delivering a product from beginning to end – everything from data engineering and architecting your decisions for efficiency to doing front-end UI and helping other teams deploy your code.

At RBC Research Institute, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning, computer vision, etc. You can find out more about our research areas at www.rbcresearchinstitute.com.

Your responsibilities include:

  • Reviewing scientific literature to identify state-of-the-art algorithms in project-specific areas

  • Prototyping solutions to evaluate the impact of selected algorithms on the target problem.

  • Collaborating with research and business teams to converge on the best solutions.

  • Optimizing algorithms and prototypical solutions for efficient implementation.

  • Extending prototypes into fully functional, polished solutions ready for internal and/or external use.

  • Supporting projects with thorough documentation of usage, design decisions and capabilities.

  • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark etc.)

  • Demoing products and projects to various internal and external stakeholders.

Our ideal candidate:

  • Is a recent (0-3 years) post-secondary graduate in Computer Science, Software Engineering, or equivalent.

  • Has 2+ years of software development experience (including co-op and internships) in a high responsibility, minimal guidance environment.

  • Has demonstrated interest or experience in two or more of the following areas: traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning.

  • Is fluent in Python, C++ and/or Java.

  • Has an active public profile where you share passion projects.

Bonus if you also have:

  • Experience with distributed computing frameworks like Hadoop and Spark.

  • Familiarity with running programs on modern GPU-based HPC platforms.

How to apply:

  • Please email your resume and GitHub (or equivalent) portfolio to mi.research@rbc.com and please include where you heard about this opportunity.

What’s in it for you?

  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential.

  • 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.

  • Ability to make a difference and lasting impact from a local-to-global scale.

About RBC Research Institute

RBC Research Institute is the R&D arm of the Royal Bank of Canada. Our team performs fundamental research in machine learning theory and applications and aims to advance the state-of-the-art in financial technologies. RBC Research supports open academic collaborations and partners with world-class research centres in artificial intelligence to bring cutting-edge machine learning to the banking world.