Machine Learning Software Engineer II

Job Description

What's the opportunity?We’re looking for an enthusiastic software developer who’s excited by the opportunity of working on challenging problems at the intersection of machine learning and the financial services industry. As a Machine Learning Software Engineer II, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing and exploration, to building and scaling ML algorithms and pipelines, to deployment and monitoring of production systems. At RBC Borealis, 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 cutting-edge machine learning R&D.Your responsibilities include:

• To build cutting edge ML solutions throughout the research and product development lifecycle;

• To play a key role in the design and development of Borealis’ machine learning products;

• To partner with RBC Borealis’s research and product teams to ensure the seamless delivery of these products;

• To apply engineering and data best practices to build robust and scalable large-scale machine learning software systems;

• To support projects with thorough documentation, design decisions, and technical advisory.

You’re our ideal candidate if you have:

• A degree in Computer Science, Software Engineering, or equivalent field;

• 5+ years of experience as a software engineer;

• Experience building modular and robust software systems in Python or similar language;

• 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 working across the entire ML research and product lifecycle from prototyping to production is a plus;

• Experience building microservices, data pipelines and using relational and non-relational databases is a plus;

• Experience working with data science tooling and deep learning frameworks is a plus;

• Experience with DevOps engineering (CI/CD pipelines, observability, containers etc) 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;

• 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 BorealisRBC Borealis, an 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, 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.