Machine Learning Engineer II, Tim Hortons
Ready to make your next big professional move? Join us on our journey to achieve our big dream of building the most loved restaurant brands in the world.
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®, BURGER KING®, POPEYES®, and FIREHOUSE SUBS®. 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.
RBI is committed to growing the TIM HORTONS®, BURGER KING®, POPEYES® and FIREHOUSE SUBS® brands by leveraging their respective core values, employee and franchisee relationships, and long track records of community support. Each brand benefits from the global scale and shared best practices that come from ownership by Restaurant Brands International Inc.
We are currently looking for experienced and driven Machine Learning Engineer to join our Advanced Analytics team. The Advanced Analytics team is responsible for the building, training, deploying, scoring, and monitoring of machine learning models for various use cases and across different functional areas, including but not limited to personalized recommender, forecasting, and LLM modelling. The Machine Learning Engineer will play a pivotal role in advancing our advanced analytics and machine learning capabilities within the organization.
RBI follows a 5 day, in-office work schedule to support collaboration. Successful candidates will be expected to work onsite 5 days per week out of our Toronto, ON location.
What You’ll Do:
Develop and deploy Machine Learning, Deep Learning and GenAI models to enhance operational efficiency and customer experience.
Continuously improve models by monitoring performance, conducting A/B testing, and implementing feedback loops.
Stay updated with the latest advancements in machine learning and AI to ensure our solutions remain cutting-edge.
Collaborate with cross-functional teams including engineers and product managers to integrate AI solutions into production systems.
Who You Are:
Take ownership and manage strategic initiatives in a rapidly evolving QSR environment.
Eagerness to learn and adapt in ambiguous problem spaces with a collaborative attitude.
Collaborate with engineering and product teams to implement ML and GenAI solutions in production.
Focus on outcomes, analyze and visualize data to drive continuous improvement across the business.
Work effectively in a fast-paced Agile environment, maintaining transparency and professionalism in communication.
What You'll Need To Succeed:
Undergraduate degree or equivalent in Computer Science, Engineering, Statistics, Mathematics, or related technical field.
Proven experience working as a Machine Learning Engineer, Data Scientist or in a similar analytical role.
Experience with programming languages and platforms such as Python, PySpark and/or Databricks.
Experience in developing machine-learning algorithms, statistical and mathematical optimization models via machine-learning frameworks using Scikit-Learn, MLlib, and pytorch.
Strong understanding of regression modeling, time series analysis, cluster analysis, machine-learning concepts such as supervised and unsupervised learning, classification, regression, deep learning, etc.
Proficient in using SQL to manipulate large datasets for processing, filtering, and generating actionable insights.
Experience in MLOps, LLMOps and managing and maintaining production jobs would be an asset.
Ability to deploy machine learning models to cloud platform with good familiarity with AWS, such as EC2, S3, Dynamodb and lambda would be an asset.
Base salary range of $100,000 – $120,000 CAD. Base salary for this position may vary based on relevant factors such as experience, education, location, and skills.
This position is eligible to participate in the Company’s annual…
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