Machine Learning Software Engineer

Royal Bank of Canada•Toronto, ON

38d

About The Position

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, 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\GenAI powered projects, 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 is designing applications to support a large enterprise.

Requirements

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;

Nice To Haves

Experience working across the entire ML\GenAI 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 with Front-end development and best practices is a plus;
Experience with DevOps engineering (CI/CD pipelines, observability, containers etc) is a plus.

Responsibilities

To build cutting edge GenAI solutions throughout the research and product development lifecycle;
To play a key role in the design and development of Borealis’ AI powered 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 AI powered software systems;
To support projects with thorough documentation, design decisions, and technical advisory.

Benefits

Be part of a dynamic & flexible working environment;
Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
Leaders who support your development through coaching and managing opportunities;
Ability to make a difference and lasting impact from a local-to-global scale.

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