Senior Machine Learning Research Engineer

Key Skills

Aartificial intelligence, Machine learning techniques, Natural Language Processing (NLP), Large Language Models - LLMs

Job Description

RBC Borealis is looking for an enthusiastic Senior ML Research Engineer who’s excited by the opportunity of being at the forefront of machine learning technology and working on extremely challenging problems in the financial services industry. As a Senior ML Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from scoping and defining the AI problem, to data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. At RBC Borealis you’ll be joining a team that works directly with leading researchers in machine learning, have access to rich and massive datasets, and offers the computational resources to support cutting-edge machine learning R&D.

Your responsibilities include:

• Delivering cutting edge AI solutions throughout the research and product development lifecycle;
• Fully embedded with RBC Borealis’ research, product and engineering teams to ensure the seamless delivery of these products;
• Collaborating with business stakeholders to define the AI problem and rapidly prototype a solution;
• Engaging in applied research experimentation to build and improve upon algorithms and models used in Borealis AI’s products;
• Supporting projects with thorough documentation, design decisions, and technical advisory.

You’re our ideal candidate if you have:

• Experience leading cross-functional machine learning research initiatives in product-centric environments;
• Involvement across the research and product development lifecycle, from prototyping to production, and engaging with multiple stakeholders to develop solutions that meet business needs;
• Proficient in Python, data science tooling, and deep learning frameworks;
• Publication record in relevant top tier AI/ML conferences a plus;
• Experience with NLP, LLMs, or financial services domain a plus;
• Experience developing open-source tools, etc. a plus.

What’s in it for you?

• 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;
• 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.

About RBC Borealis

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 locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. 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. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.