Staff Machine Learning Software Engineer

RBC; Toronto; On-site; CAD 180,000 - 240,000; Full time

Job summary

RBC Borealis AI is seeking a Staff Machine Learning Software Engineer to lead strategic AI initiatives and drive scalable ML solutions in collaboration with multiple teams across the organization. The role focuses on planning, execution, and delivery of advanced AI projects that address complex business challenges at RBC.

You will direct the management of several AI Engineering teams, align with corporate goals, and influence enterprise strategy with deep ML expertise, strong communication, and

Qualifications

• 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 mentoring data scientists and engineers.
• Proven RD lifecycle experience from prototyping to production with stakeholder engagement.
• Deep expertise in ML, statistics, data science including optimization, A/B testing, and causal inference.
• Deep expertise in production ML infrastructure including model serving platforms, feature stores, and data pipelines.

Responsibilities

• Develop and oversee strategic AI roadmaps aligned with organizational objectives.
• Direct cross-functional collaboration to drive enterprise strategies.
• Lead AI initiatives ensuring efficiency and alignment with plans.
• Provide strategic direction and leadership for high-impact AI projects.
• Manage AI Engineering initiatives with complex scope and scalable impact.
• Set department strategy and mentor senior managers and teams.

Skills

Machine Learning

Leadership

Cross-functional collaboration

End-to-end ML ownership

Production ML infrastructure

Statistics

Data pipelines

Communication

Big Data Analytics

Education

Bachelor's degree in Computer Science/Statistics/Math/Engineering

Tools

Feature stores

Model serving platforms

Data pipelines

Job description

Job Description

RBC Borealis is seeking an experienced Staff Machine Learning Software Engineer to leads the strategic planning, execution, and delivery of advanced AI initiatives in Borealis AI, aligning with organizational goals and driving impactful solutions to address complex business challenges. In this role, you will direct the management of multiple teams in AI Engineering, focusing on strategy implementation.

Responsibilities Include

• 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, and making independent decisions across business units.
• Make independent decisions on program, technical or operational strategy for the department, providing leadership, coaching and mentorship through senior managers and managers. Set strategic direction for the department or area receiving high level direction from senior leaders.
• Drive innovation across areas of responsibility identifying opportunities for making operational changes and practices, solving highly complex problems broadly related to AI Engineering.
• Lead cross functional collaboration efforts, fostering strong internal relationships across the organization and external relationships to drive business outcomes.

You’re our ideal candidate if you have:

• 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.

Job Skills

Big Data Analytics, Client Counseling, Coaching Others, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Results-Oriented, Software Engineering, Software Product Design

Additional Job Details

Address

777 BAY ST, TH 27:TORONTO

City

Toronto

Country

Canada

Work hours/week

37.5

Employment Type

Full time

Platform

TECHNOLOGY AND OPERATIONS

Job Type

Regular

Pay Type

Salaried

Posted Date

2026-07-22

Application Deadline

2026-08-26

Note

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

Our Employment Opportunities

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.