Job Description
What's the opportunity?
Building machine learning-based software solutions;
Collaborating with business stakeholders to prototype machine-learning solutions rapidly;
Conducting comparisons to existing algorithms and baselines;
Reviewing, extending, and optimizing prototype solutions;
Collaborating with the engineering team to integrate algorithms into products;
Developing reusable internal tools to facilitate research prototyping;
Supporting projects with thorough documentation, design decisions, and capabilities.
In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide.
A master’s or PhD degree in computer science, mathematics, physics, economics or equivalent;
2+ years of applied machine learning experience in a high-responsibility, minimal-supervision environment;
Experience with writing modular, robust, scalable software in Python 3.x;
Expertise in a few of the following areas: deep learning, natural language processing, information retrieval;
Experience with deep learning packages such as PyTorch, JAX, or Tensorflow;
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;
Strong communication skills and a collaborative attitude.
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.
Research Engineer • MONTRÉAL, Quebec, Canada
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