Staff Machine Learning Software Engineer

RBC

Staff Machine Learning Software Engineer at RBC Borealis leading strategic AI initiatives and managing complex projects. Overseeing implementation of innovative solutions aligned with organizational objectives.

Posted 7/22/2026full-timeToronto • 🇨🇦 CanadaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading high-impact machine learning solutions and managing complex AI engineering initiatives. Proven ability to drive innovation and operational efficiency while fostering cross-functional collaboration and stakeholder engagement.

Highest-signal resume keywords

Machine Learning ExpertiseAI Engineering ManagementCross-Functional CollaborationEnd-to-End ML System OwnershipStrategic Direction and Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatisticsData ScienceOptimizationA/B TestingCausal InferenceModel DesignFeature EngineeringModel ArchitectureDrift Detection

Soft Skills

Exceptional CommunicationStakeholder Engagement

Tools & Technologies

Model Serving PlatformsFeature StoresData Pipelines

Industry Keywords

AI RoadmapsOperational EfficiencyResource OptimizationHigh-Impact ProjectsResearch and Development Lifecycle

About the role

Key responsibilities & impact

Develop and oversee implementation of strategic AI roadmaps aligned with organizational objectives and deliver innovative solutions for complex business challenges
Direct cross functional collaboration, building strong relationships to drive impactful outcomes and influence enterprise strategies
Lead multiple AI focused initiatives, ensuring operational efficiency, resource optimization, and alignment with corporate strategic plans
Provide strategic direction and leadership to teams, ensuring successful execution of high impact AI projects and contributing to long term objectives
Manage AI Engineering initiatives of significant complexity, applying advanced technical expertise to solve abstract problems
Make independent decisions on program, technical or operational strategy for the department
Drive innovation across areas of responsibility identifying opportunities for operational changes and practices
Lead cross functional collaboration efforts, fostering strong internal relationships across the organization and external relationships to drive business outcomes

Requirements

What you’ll need

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
Deep expertise in production ML infrastructure including model serving platforms, feature stores, and data pipelines
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
Proven ability to lead cross-functional technical initiatives by coordinating with diverse stakeholder groups.

Benefits

Comp & perks

Health insurance
Disability-related accommodations during the application process available upon request