2017-05-19

Data Engineer – 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.

As a Data Engineer, you’ll focus on transforming messy, unstructured data into clean, structured datasets ready for use in machine learning applications. You’ll work collaboratively with Machine Learning Developers and Researchers to understand how data must be structured, then create scripts to extract, load and transform raw data. On any given day, you may be involved in a broad set of tasks that range from working with distributed systems and creating data monitoring services to writing an API for developer access. If thinking about the potential of artificial intelligence excites you, join us in pushing the boundaries of what’s possible.

Your responsibilities include:

  • Providing technical expertise for and assisting with Extraction, Loading and Transformation of massive, unstructured datasets.

  • Rapidly prototyping data collection tools for the quick creation of labelled datasets.

  • Developing machine learning products, algorithms and intelligence to solve impactful financial and business problems.

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

  • Demoing results and findings to various internal and external business stakeholders.

You’re our ideal candidate if you:

  • Have a post-secondary degree in Computer Science, Data Science, Software Engineering, or equivalent.

  • Have excellent knowledge and industry experience with distributed computing technologies like Hadoop, Spark, PySpark, HBase and Hive.

  • Have working experience with various layers of the development stack, such as data modelling, API design, application security and/or front-end development.

  • Have tinkered with machine learning frameworks/libraries like sklearn, theano, tensorflow and/or PyTorch.

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

  • Love to geek out about technology and can’t wait to create massive impact.

How to apply:

  • Please email your CV and GitHub (or equivalent) portfolio to mi.research@rbc.com and don’t forget to include how 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 a global scale.

About RBC Research

RBC Research is the R&D arm of the Royal Bank. 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 and beyond.