Restaurant Brands International

www.rbi.com

4 Jobs

8,480 Employees

About the Company

Restaurant Brands International Inc. is one of the world's largest quick service restaurant companies with nearly $45 billion in annual system-wide sales and over 32,000 restaurants in more than 120 countries and territories. RBI owns four of the world's most prominent and iconic quick service restaurant brands - TIM HORTONS(r), BURGER KING(r), POPEYES(r), and FIREHOUSE SUBS(r). These independently operated brands have been serving their respective guests, franchisees and communities for decades. Through its Restaurant Brands for Good framework, RBI is improving sustainable outcomes related to its food, the planet, and people and communities.

Listed Jobs

Company Name: Restaurant Brands International
Job Title: Undergraduate Summer Internship Program - Toronto
Job Description: **Job Title:** Undergraduate Summer Internship Program **Role Summary:** A 12‑week paid internship offering undergraduate students hands‑on experience with strategic, business‑critical projects across functions such as Marketing, Operations, Finance, Digital, Development, People, and Procurement. Interns work directly with senior leaders, receive mentorship, and present findings to executive stakeholders. **Expectations:** - Enrolled in an undergraduate degree program with expected graduation between Dec 2026 – May 2027. - Open to any academic major (Business, Marketing, Economics, STEM, Hospitality, etc.). - Demonstrated passion for growth, ownership, and the quick‑service restaurant (QSR) industry. - Ability to thrive in ambiguous, fast‑paced environments. - Strong communication, problem‑solving, and emerging leadership capabilities. **Key Responsibilities:** - Participate in a structured onboarding session covering company culture, brand strategy, and restaurant operations. - Lead a senior‑sponsored strategic project that drives revenue, guest experience, or operational efficiency. - Collaborate with cross‑functional teams, gather data, analyze results, and develop actionable recommendations. - Receive ongoing coaching from a designated buddy and project manager; attend leadership lunch‑and‑learns and networking events. - Deliver a final presentation summarizing project outcomes and business impact to department heads and senior leadership. **Required Skills:** - Excellent written and verbal communication. - Analytical thinking and data‑driven problem solving. - Proactive, self‑starting attitude with ability to manage ambiguity. - Team collaboration and stakeholder management. - Basic proficiency with Microsoft Office (Excel, PowerPoint) or comparable productivity tools. **Required Education & Certifications:** - Current undergraduate student (any discipline). - Anticipated graduation date between December 2026 and May 2027. - No specific certifications required.

Toronto, Canada

On site

20-12-2025

Company Name: Restaurant Brands International
Job Title: AI/ML Data Scientist
Job Description: **Job Title** AI/ML Data Scientist **Role Summary** Design, build, and operationalize scalable enterprise forecasting and machine learning pipelines. Own end‑to‑end data pipelines, feature engineering, and evaluation frameworks that support sales, labor, inventory, and other predictive domains. Enable semantic and AI layers for natural language access to insights while ensuring governance, explainability, and data lineage. **Expectations** - Deliver production‑grade, reproducible ML systems that integrate cleanly with the data ecosystem. - Maintain rigorous version control, experimentation tracking, and automated drift detection. - Collaborate with cross‑functional teams to translate business requirements into ML‑ready data assets. - Adhere to enterprise policies for data governance, RBAC, and auditability. **Key Responsibilities** - **Forecasting & ML Engineering** – Design and operationalize forecasting pipelines and feature layers; build reusable ML components; implement best practices for time‑series modeling. - **Data & Platform Engineering** – Onboard, transform, and model enterprise data in Snowflake; design high‑performance batch and real‑time pipelines; optimize data structures for scalability and security. - **Semantic & AI Layer Enablement** – Build semantic models and metadata to support NLP-driven insight retrieval; enable AI tools with clean, governed datasets. - **Governance, Quality, & Trust** – Enforce RBAC, documentation, and data quality checks; develop evaluation datasets, regression tests, and drift detection mechanisms. - **Cross‑Functional Collaboration** – Partner with Finance, Operations, Marketing, and Product to embed forecasts and predictive insights into planning workflows; advocate for best practices in data and model architecture. **Required Skills** - 5+ years in data engineering or analytics engineering with production experience on Snowflake or equivalent cloud warehouses. - Expert SQL and advanced data modeling (star/snowflake schemas, semantic modeling, metadata management). - Proficient in Python; experience operationalizing ML workloads (model serving, versioning, testing). - Knowledge of ML engineering best practices: experiment tracking, feature stores, drift detection, version control. - Strong understanding of data governance, RBAC, audit trails, and handling of PII. - Excellent communication and collaboration across multidisciplinary teams. **Required Education & Certifications** - Bachelor’s degree (or higher) in Computer Science, Data Engineering, Statistics, Applied Mathematics, or a related field. - Relevant certifications in big data platforms (Snowflake, AWS, GCP) or ML operations (e.g., Certified Data Engineer, ML Ops) are advantageous.

Company Name: Restaurant Brands International
Job Title: Principal Software Engineer - AI/ML
Job Description: **Job Title:** Principal Software Engineer – AI/ML **Role Summary:** Design, build, and operationalize end‑to‑end data and machine‑learning infrastructure that powers enterprise forecasting, AI-driven insights, and semantic layers. Own data pipelines, feature stores, and evaluation frameworks, ensuring outputs are governed, explainable, and anchored to authoritative data sources. **Expectations:** - Lead the architecture of scalable ML and forecasting systems across sales, labor, inventory, and other operational domains. - Deliver production‑grade components that integrate seamlessly with the organization’s data ecosystem. - Champion governance, quality, and security across data and predictive workflows. **Key Responsibilities:** 1. **Forecasting & ML Engineering** - Design and implement enterprise forecasting pipelines and feature layers for multiple predictive domains. - Build reusable ML components, versioned pipelines, experimentation scaffolding, and automated drift detection. - Ensure predictions are governed, explainable, and linked to source‑of‑truth data with full lineage. 2. **Data & Platform Engineering** - Onboard, transform, and model enterprise data in Snowflake for ML, forecasting, and analytics. - Design high‑performance batch and real‑time data models; optimize for scalability and permissioning. 3. **Semantic & AI Layer Enablement** - Develop governed semantic models and metric definitions to support natural‑language access to insights. - Provide clean, well‑structured datasets and metadata for AI tools such as Cortex. 4. **Governance, Quality & Trust** - Implement RBAC, documentation, and audit trails for data and predictive outputs. - Build evaluation datasets and regression tests to detect drift and maintain performance. 5. **Cross‑Functional Collaboration** - Translate business requirements from Finance, Operations, Marketing, Technology, and Product into scalable, ML‑ready data assets. - Advocate for best‑practice data and model architecture to accelerate enterprise AI adoption. **Required Skills:** - 5+ years of production data or analytics engineering, with strong Snowflake or equivalent cloud warehouse experience. - Expert SQL and advanced data modeling (star/snowflake schemas, semantic modeling, metadata). - Proficient in Python; experience operationalizing ML workloads (pipelines, feature stores, drift detection). - Knowledge of machine‑learning best practices for time‑series and predictive analytics. - Hands‑on experience with data governance, RBAC, and compliance (PII handling). - Familiarity with semantic layers, natural‑language processing, and AI evaluation frameworks. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, or a related technical discipline. - Relevant certifications may include Snowflake Practitioner, Google Cloud Data Engineer, or equivalent advanced data‑engineering credentials.

Company Name: Restaurant Brands International
Job Title: Lead Data Scientist
Job Description: Job Title: Lead Data Scientist Role Summary: Lead design, development, and deployment of enterprise‑wide forecasting and ML infrastructure, enabling accurate, governed predictive insights across sales, labor, inventory, and operational domains. Expectations: Deliver production‑grade ML pipelines, feature stores, and semantic layers that integrate with RBI’s data ecosystem. Collaborate cross‑functionally to translate business needs into scalable data products, maintain governance, quality, and security standards, and drive adoption of AI‑driven decision making. Key Responsibilities: - Build and operationalize scalable forecasting pipelines and feature layers for diverse predictive use cases. - Develop reusable, abstracted ML components that integrate cleanly with existing data workflows. - Implement best practices for time‑series modeling, experiment tracking, versioned pipelines, and automated drift detection. - Own data onboarding, transformation, and modeling into Snowflake, designing high‑performance batch and real‑time pipelines. - Optimize data structures for correctness, scalability, and proper permissioning across business functions. - Enable semantic and AI layers, ensuring consistent metric definitions, clean datasets, and metadata for natural‑language access. - Enforce governance, RBAC, documentation, and auditability; manage PII compliance and quality controls. - Collaborate with Finance, Operations, Marketing, Technology, and Product teams to integrate forecasts into planning and operational workflows. Required Skills: - 5+ years in data engineering or analytics engineering with production experience on Snowflake or equivalent cloud warehouse. - Advanced SQL and data modeling (star/snowflake schemas, semantic modeling, metadata management). - Proficient in Python; strong experience operationalizing ML workloads in production. - Expertise in time‑series forecasting, feature engineering, version control, experimentation scaffolding, and drift monitoring. - Knowledge of ML governance, explainability, and drift‑detection frameworks. - Strong collaboration skills and ability to translate business requirements into technical solutions. Required Education & Certifications: - Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or related field (Master’s preferred). - Certifications in Snowflake, Data Engineering, or ML Engineering (e.g., SnowPro Core, AWS Certified Data Analytics) are advantageous.