Senior Machine Learning Software Engineer

RBC•Vancouver, BC

4d•Onsite

About The Position

At RBC Borealis, you’ll be joining a team of leading researchers and software engineering specializing in machine learning. You will have access to rich and massive datasets, and to computational resources to support novel product development touching machine learning areas such as generative AI, natural language processing, and time series analysis. 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 Senior 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 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.

Requirements

A degree in Computer Science, Software Engineering, or equivalent field;
7+ 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;

Nice To Haves

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.

Responsibilities

Lead development of machine learning-based software 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.