Staff Machine Learning Software Engineer

Bachelor's degree in Computer Science, Statistics, Math, Engineering or a related technical field;

10+ years of experience leading high-impact machine learning solutions in a product-centric environment;

Experience managing/mentoring high-performing teams of data scientists and engineers;

Proven expertise across the research and development lifecycle, from prototyping to production, with strong ability to engage stakeholders;

Deep expertise in machine learning, statistics, and data science with experience in optimization, A/B testing, and causal inference;

Possess a deep expertise in production ML infrastructure including model serving platforms, feature stores, and data pipelines, with ability to support teams in deploying and maintaining ML models at scale.

Exceptional communication skills and ability to translate complex concepts to diverse audiences.

Demonstrated a mastery of end-to-end ML system ownership in production environments, including model design, feature engineering, model architecture, drift detection, and serving infrastructure at scale.

A deep expertise in building systems that serve as shared ML platforms for multiple downstream teams and use cases.

A proven ability to lead cross-functional technical initiatives by coordinating with diverse stakeholder groups (feature providers, policy teams, client teams) while maintaining system integrity and translating technical results to non-technical audiences.

About the AI Group: RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery — ensuring RBC remains at the frontier of AI-enabled value creation.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

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