By joining RBC Borealis, you will become part of a team of renowned researchers and software engineers specializing in machine learning. You will have access to vast and rich datasets and computing resources to support the development of new products in machine learning areas such as generative AI, natural language processing, and time series analysis.

We are seeking an enthusiastic Machine Learning Researcher eager to tackle highly complex problems using machine learning technology. As a Machine Learning Researcher, you will be called upon to apply your passion for manipulating real-world data to innovative solutions. We are a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab, you will have access to vast sets of structured and unstructured datasets and the tools and resources necessary to create innovative statistical models.

As a member of our team, you will have the opportunity to publish your research findings in peer-reviewed journals and participate in conferences worldwide (NeurIPS, ICLR, ICML, CVPR, and many others).

Your responsibilities will include:

• Developing new artificial intelligence solutions that facilitate the creation of impactful products;
• Conducting original, publishable research by advancing cutting-edge machine learning techniques;
• Working with the development team to translate research findings into actionable products;
• Interpreting broader organizational needs and designing algorithmic solutions that can contribute to the next generation of banking experiences;
• Identifying relevant new artificial intelligence technologies as they become available and integrating them with the bank's technological capabilities.
• In this role, you will communicate and interact frequently with partners and colleagues in Canada and around the world.

You are our ideal candidate if:

• You are passionate about solving complex problems using data and algorithms;
• You hold a PhD in a subfield of artificial intelligence or have research experience (publications or sophisticated AI products);
• You are able to define and conduct a research project independently without close supervision;
• You demonstrate proficiency in Python and are familiar with deep learning frameworks such as TensorFlow or PyTorch.

Benefits for you

• Work within a team that is constantly seeking new solutions and focused on collaborative work. You will be able to demonstrate your full potential;
• Total compensation package including bonuses and customizable benefits, competitive salary, commissions, and stock options (in some cases);
• Ongoing professional development supported by management through mentoring and management opportunities;
• Ability to make a significant and lasting contribution, both locally and globally.
• Design and implement cutting-edge machine learning methodologies and algorithms to solve complex, high-impact problems, while ensuring alignment with organizational goals and industry standards.
• Lead the development and deployment of scalable AI platforms and tools, and provide strategic direction and technical expertise to cross-functional teams and stakeholders.
• Write and present peer-reviewed publications, represent the organization at international conferences, and collaborate with the scientific community to position the organization as a leader in AI research.
• Mentor junior researchers and provide technical leadership by sharing knowledge, reviewing research findings, and fostering innovation to enhance organizational machine learning capabilities. • Lead complex machine learning research initiatives, solve abstract problems, and deliver effective solutions through in-depth technical and operational expertise.
• Oversee decision-making on highly complex issues with significant financial or operational implications, providing management with clear direction and concrete recommendations regarding organizational priorities.
• Develop and implement innovative solutions to address highly complex machine learning research challenges, ensuring alignment with organizational objectives.
• Cultivate and maintain high-impact relationships across multiple sectors to provide strategic insights and generate measurable value as a trusted advisor.

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About RBC Borealis

RBC Borealis, part of the RBC Research Institute, is a curiosity-driven research centre dedicated to advancing machine learning. Established in 2016, Borealis AI, with labs in Toronto, Montreal, Waterloo, and Vancouver, fosters academic partnerships with leading artificial intelligence research centres. Focused on the ethical use of artificial intelligence to contribute to the prosperity of communities, our machine learning scientists conduct fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve complex problems across a range of industries.

Employment Equity and Inclusion

RBC is committed to employment equity and is dedicated to fostering diversity and inclusion. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Indigenous status, or any other legally protected status. Accommodations for applicants with disabilities are available upon request.

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