Staff ML Engineer

RBC • Toronto, ON

1d • Onsite

About The Position

This is an opportunity to work at RBC Wealth Management Technology Data team with a group of technology professionals dedicated to delivering transformative ML solutions to Wealth business and clients. We are all in with Agile development, DevOps, Open Source, Software as a Service (SaaS) and modern tools and processes. We are looking for an experienced and visionary Staff Machine Learning Engineer to spearhead advanced ML initiatives, lead end-to-end project delivery, manage and mentor a high-performing ML engineering team, and drive technical innovation across the Wealth Management data domain. The ideal candidate will have: Expertise in deploying ML models and integrating WM data with cutting-edge ML solutions. A strong background in machine learning, software development, and technical leadership. A proven track record of delivering high-impact solutions that meet complex business needs. Deep understanding of modern data stacks, cloud computing, and MLOps practices. Ability to shape organizational ML strategy, provide technical direction, and lead cross-functional initiatives. You will play a pivotal role in building and scaling our ML capabilities while partnering with IT and business stakeholders to assess, research, and resolve critical business challenges through technology solutions.

Requirements

• 7+ years of hands-on experience in machine learning development with 3+ years in a leadership or mentorship role
• Expertise in deploying ML models and integrating data systems with ML solutions in production environments
• Strong programming skills in Python and Java; experience with REST APIs, GraphQL, and ETL pipeline development
• Expert-level proficiency in cloud platforms: AWS and/or Azure, with OpenShift containerization experience
• Deep understanding of DevOps practices: CI/CD pipelines, containerization (Docker, Kubernetes), monitoring tools
• Experience with ML platforms and tools (e.g., Helios) for model deployment and orchestration
• Solid database knowledge: SQL Server, Snowflake, or similar enterprise data platforms
• Proven ability to manage and mentor engineering teams with demonstrated impact on team performance and growth
• Strong understanding of software development principles: design patterns, testing, deployment strategies
• Excellent communication and leadership skills with the ability to influence and collaborate across business and technical teams
• Strong understanding of application implementation requirements, including risk, privacy, and compliance
• Proven ability to lead complex, end-to-end projects in fast-paced, collaborative environments

Nice To Haves

• Understanding of IT Standards, Methodologies, CMM & audit requirements
• Financial institution and Wealth Management domain knowledge
• Experience with GenAI and advanced ML techniques (NLP, deep learning, reinforcement learning)
• Knowledge of modern data platforms and architectures (data lakes, data warehouses, streaming platforms)
• Experience with Agile and Scrum methodologies

Responsibilities

• Manage and lead a team of ML engineers and data engineers, providing technical guidance, mentorship, and career development
• Foster a high-performing culture of innovation, collaboration, and continuous learning
• Conduct performance evaluations and provide constructive feedback to team members
• Hire and build diverse, talented teams aligned with organizational goals
• Own end-to-end ML project delivery, from conception through production deployment and optimization
• Define and communicate technical roadmap and architecture for ML initiatives aligned with business objectives
• Provide technical direction and set standards for ML development practices, code quality, and MLOps
• Make critical technical decisions that balance innovation, scalability, and risk management
• Partner with architects, product managers, and business leaders to evaluate use cases and align ML initiatives with company goals
• Design, build, and deploy scalable machine learning models that integrate WM data with advanced ML algorithms
• Oversee end-to-end ML pipelines ensuring seamless integration with applications and data platforms
• Establish best practices for model development, validation, monitoring, and continuous improvement
• Collaborate with data engineers to ensure efficient data collection, preparation, and feature engineering
• Establish and maintain coding standards and best practices across the ML engineering team
• Set up processes to ensure high-quality code through regular reviews and compliance with RBC’s standards
• Build and maintain comprehensive documentation of ML architectures, models, pipelines, and processes
• Design monitoring and metrics systems to meet Service and Operational Level Agreements (SLAs)
• Act as primary technical liaison with multiple RBC teams, stakeholders, executives, and third-party vendors
• Collaborate with Agile teams, product owners, software engineers, and business stakeholders
• Communicate complex ML concepts to non-technical audiences and translate business needs into technical solutions
• Drive organizational alignment on ML priorities and technical capabilities
• Stay at the forefront of emerging ML technologies, cloud advancements, and industry best practices
• Share knowledge with teams and drive adoption of new techniques to improve existing systems
• Contribute to thought leadership within RBC and the broader ML community

Benefits

• A comprehensive Total Rewards Program including bonuses, flexible benefits, and competitive compensation
• Leaders who support your development and growth through coaching and strategic opportunities
• The ability to make a significant, lasting impact on RBC’s ML strategy and technical capabilities
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services
• Flexible work/life balance options
• Opportunities to lead challenging, high-visibility projects
• Opportunities to take on progressively greater responsibilities and strategic influence
• Access to a variety of career advancement opportunities across RBC’s business units and geographies

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed