Machine Learning Software Engineer
Royal Bank of Canada•Toronto, ON
•Onsite
About The Position
RBC Borealis is seeking an enthusiastic software developer to tackle challenging problems at the intersection of machine learning and financial services. As a Machine Learning Software Engineer, you will be responsible for the entire project lifecycle, from data pre-processing and exploration to building, scaling, deploying, and monitoring ML algorithms and production systems. You will join a team with access to leading machine learning researchers, extensive datasets, and the computational resources for cutting-edge R&D.
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 research and product lifecycle from prototyping to production.
- Experience building microservices, data pipelines and using relational and non-relational databases.
- Experience working with data science tooling and deep learning frameworks.
- Experience with DevOps engineering (CI/CD pipelines, observability, containers etc).
Responsibilities
- Build cutting-edge ML solutions throughout the research and product development lifecycle.
- Play a key role in the design and development of Borealis’ machine learning products.
- Partner with RBC Borealis’s research and product teams to ensure the seamless delivery of these products.
- Apply engineering and data best practices to build robust and scalable large-scale machine learning software systems.
- Support projects with thorough documentation, design decisions, and technical advisory.
Benefits
- Dynamic & flexible working environment
- Progressive thinking and collaborative team environment
- Leaders who support development through coaching and managing opportunities
- Ability to make a difference and lasting impact from a local-to-global scale.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
