Machine Learning Engineer – Advanced Analytics We are looking for an experienced and driven Machine Learning Engineer to join our Advanced Analytics team in Toronto, ON. The team is responsible for building, training, deploying, scoring, and monitoring machine learning models for various use cases across different functional areas, including personalized recommender systems, forecasting, and large‐language‐model (LLM) modelling.What You'll Do Develop and deploy machine learning, deep learning, and generative AI 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.Demonstrate eagerness to learn and adapt in ambiguous problem spaces with a collaborative attitude.Collaborate with engineering and product teams to implement ML and generative AI 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 Bring Bachelor's or advanced degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field.3+ years of experience designing, building, and operating production‐scale machine learning systems as a Machine Learning Engineer, Senior Data Scientist, or similar role.Expert‐level programming in Python with extensive experience using PySpark and distributed data platforms (e.G., Databricks) to process and model large‐scale datasets.Proven ability to architect and rebuild complex ML frameworks from the ground up,



incorporating multi‐threaded processing, distributed workloads, and coordinated synchronous/asynchronous task management to support scalable data and model pipelines.Deep understanding of distributed data processing frameworks, including Spark execution model, partitioning strategies, shuffle optimization, worker‐level execution, and advanced techniques such as Pandas UDFs, vectorized processing, and large‐scale performance tuning.Strong experience developing and productionizing models using frameworks such as Scikit‐Learn, MLlib, and PyTorch, with solid understanding of regression, time series, clustering, supervised/unsupervised learning, and deep learning.Proven experience owning production ML systems, including participating in model on‐call rotations, monitoring model performance and data distribution, troubleshooting incidents, and maintaining model reliability.Solid SQL expertise for large‐scale data manipulation and feature engineering.Experience implementing MLOps / LLMOps practices and deploying ML workloads to cloud environments such as AWS (EC2, S3, DynamoDB, Lambda).Compensation & Benefits Base salary range of $100,000 – $130,000 CAD. Additional compensation may include discretionary bonus, equity grants, and participation in long‐term incentive plans.Benefits include comprehensive global paid parental leave, free telemedicine, mental wellness support, and a focus on physical, mental, and financial wellness.Work Location & Schedule Onsite, 5 days per week in our Toronto, ON office.Equal Opportunity Employer Restaurant Brands International and all of its affiliated companies (collectively, RBI) are equal opportunity and affirmative action employers that do not discriminate on the basis of race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or veteran status, or any other characteristic protected by local, state, provincial or federal laws, rules, or regulations. RBI's policy applies to all terms and conditions of employment. Accommodation is available for applicants with disabilities upon request.#J-18808-Ljbffr

📌 Machine Learning Engineer Iii, Tim Hortons - C$100,000 - C$130,000 A Year (Toronto)
🏢 Tim Hortons
📍 Toronto