Job description
Machine Learning Software Engineer
Company Overview
RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry.
Job Summary
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 algorithms and pipelines, to deployment and monitoring of production systems.
Key Responsibilities
- 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.
Requirements / Qualifications
- 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.
Location
Vancouver, Canada
Employment Type
Full Time
Salary & 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.
Equal Opportunity Statement
RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.
