Senior Machine Learning Researcher- EN

Job Description

RBC Borealis is looking for an enthusiastic Senior Machine Learning Researcher who is excited by the opportunity of being at the forefront of machine learning technology and working on extremely challenging problems in the financial services industry. The role involves delivering AI projects end‑to‑end, 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. The candidate will collaborate with leading researchers and have access to rich datasets and compute resources for cutting‑edge R&D.

Responsibilities

• Apply deep technical expertise and scientific rigour to AI projects, working within and across teams.
• Develop innovative machine learning approaches and novel intellectual property.
• Iteratively refine and deliver machine learning concepts from proof of concept through to product delivery.
• Contribute to defining the research vision, publish papers, and communicate internally and externally about machine learning research.
• Work closely with team members—including researchers, engineers, and interns—to advance AI research and solutioning.
• Communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide.

Qualifications

• A Ph.D. degree in Computer Science or a related technical field.
• At least 2 years of experience as a machine learning researcher or engineer in a product‑centric environment or equivalent experience.
• Expertise in machine learning, with experience with large language models and natural language processing being a plus.
• Experience delivering high‑impact machine learning products.
• Experience mentoring junior researchers and engineers.
• Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs.
• The ability to formulate and drive a research project independently.
• Exceptional communication skills.
• A history of high‑quality academic publications (e.g., NeurIPS, ACL, EMNLP, CVPR, ICLR, ICML).

What’s in it for you?

• 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 have lasting impact from a local‑to‑global scale.
• Designs and implements cutting‑edge machine learning methodologies and algorithms to solve complex, high‑impact problems, ensuring alignment with organizational goals and industry benchmarks.
• Leads the development and deployment of scalable AI platforms and tools, providing strategic guidance and technical expertise to cross‑functional teams and stakeholders.
• Authors and presents peer‑reviewed publications, represents the organization at international conferences, and collaborates with the scientific community to establish the organization as a leader in AI research.
• Mentors and provides technical leadership to junior researchers, disseminating knowledge, reviewing research outputs, and fostering innovation to enhance organizational capabilities in machine learning.
• Leads complex machine learning research initiatives, solving abstract problems and delivering impactful solutions using advanced technical and business expertise.
• Oversees decision making for highly complex issues with significant financial or operational impact, providing clear direction and actionable recommendations to management on key organizational priorities.
• Develops and implements innovative solutions to address highly complex machine learning research‑related problems ensuring alignment with organizational goals.
• Cultivates and maintains high‑impact relationships across multiple areas to provide strategic insights and deliver measurable value as a trusted advisor.

Job Skills

Collaboration, Communication, Computer Programming, Data Science, Large Language Models (LLMs), Machine Learning (ML)

Additional Job Details

• Address: 401 Georgia St W, Vancouver
• City: Vancouver
• Country: Canada
• Work hours/week: 37.5
• Employment Type: Full time
• Platform: Technology and Operations
• Job Type: Regular
• Pay Type: Salaried
• Posted Date: 2026‑05‑06
• Application Deadline: 2026‑10‑05

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