Senior Machine Learning Researcher

• Technical Contribution. Apply deep technical expertise and scientific rigour to AI projects, working within and across teams;
• Research Innovation. Develop innovative machine learning approaches and novel intellectual property;
• Product Delivery. Iteratively refine and deliver machine learning concepts from proof of concept through to product delivery;
• Research Excellence. Contribute to defining our research vision, publish papers, and communicate internally and externally around machine learning research;
• Collaboration. Work closely with team members including other researchers, engineers, and interns to advance AI research and solutioning.

• 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 etc.).

• 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 delivering measurable value as a trusted advisor.

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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.