Borealis AI is the R&D arm of RBC, and consists of a team of researchers, research engineers, data scientists, and software developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. With a focus on curiosity-driven research, our team is dedicated to advancing the state-of-the-art by publishing at top-tier conferences, developing impactful products with the potential to reach millions of people, and supporting the broader AI community.
We’re looking for an enthusiastic senior data engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Senior Data Engineer, you’ll be responsible for leading a team that owns the data pipelines for delivering machine learning-based products. You’ll provide technical leadership, mentorship to junior engineers, and influence engineering best practices in your team.
At Borealis AI, 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 and computer vision. You can find out more about our research areas at www.borealisai.com.
Your responsibilities include:
Lead the design, implementation and deployment of data pipelines for ML systems.
Functionally decompose complex problems into simple, straight-forward solutions.
Share knowledge in performance, scalability, enterprise system architecture, and engineering best practices.
Collaborate with research and business teams to converge on the best solutions.
Provide technical expertise and assistance with the Extraction, Loading and Transformation of massive, unstructured datasets.
Develop and maintain data pipelines for machine learning products, algorithms and intelligence to solve impactful financial and business problems.
Support assigned projects with thorough documentation of usage, design decisions and capabilities.
Demo 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 5+ years of software development experience in a high-responsibility, minimal-supervision environment.
Experience with writing modular, robust, scalable software in any of the mainstream languages (Java, C#, Python, C++).
Comfortable working with a variety of SQL, NoSQL and graph databases like PostgreSQL, OrientDB and MongoDB.
Excellent knowledge and industry experience with distributed computing technologies like Hadoop, Spark, HBase and Hive.
Experience with data pipeline integration using cloud platforms like AWS, Azure.
Have knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
Experience with scaling and performance of large systems.
Experience in communicating with business, product and other technical teams, to collect requirements, discuss technical designs and products.
Experience taking a leading role in building complex software products, mentoring junior software engineers, and influencing software engineering best practices within your team.
Exposure to Deep Learning packages such as Tensorflow, Theano, Keras or PyTorch and understanding of machine learning algorithms is a plus.
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.
Freedom to publish and massive datasets.
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 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. Established in 2016, and with labs in Toronto, Montreal, Edmonton, Waterloo, and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.