Machine Learning Engineer II, Burger King, US&C

Ready to make your next big professional move? Join us on our journey to build 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 $45billion in annual system‑wide sales and over 32,000 restaurants in more than 120 countries.

• Design, develop, and iterate on machine learning models—including causal inference, recommendation systems, clustering, and optimization models—to address high‑impact business problems.
• Partner with Analytics Engineering to design and evaluate experiments (e.g., A/B testing, matched cohorts, difference‑in‑differences) to validate model performance and quantify real‑world impact.
• Develop models that inform actionable decisions, including prioritization frameworks and expected‑value‑based optimization to drive improvements in traffic and profitability.
• Monitor, evaluate, and refine model performance using statistical methods, backtesting, and iterative experimentation to ensure accuracy, stability, and sustained impact.
• Transform curated datasets into high‑quality model inputs through feature engineering, selection, and validation, leveraging domain knowledge and statistical techniques.
• Work closely with Analytics Engineering, Data Engineering, and MLOps teams to ensure models are production‑ready, scalable, and effectively integrated into downstream systems.

• 3+ years of experience in machine learning, applied statistics, or a related field, focusing on real‑world model development and evaluation.
• Bachelor’s or Master’s degree in Statistics, Economics, Operations Research, Mathematics, Computer Science, or a related quantitative field (equivalent applied experience is acceptable).
• Strong foundation in statistical modeling and machine learning, with the ability to explain model selection, assumptions, and trade‑offs.
• Experience applying a range of modeling techniques such as regression, clustering, recommendation systems, and optimization methods.
• Familiarity with experimental design and causal inference techniques (e.g., A/B testing, difference‑in‑differences, cohort‑based analysis).
• Strong programming skills in Python for analysis and model development.
• Proficiency in SQL and experience working with large‑scale datasets in Snowflake or a similar cloud data warehouse.
• Experience working in AWS environments (e.g., Sage Maker, EMR) and familiarity with workflow orchestration tools such as Dagster or Airflow.

• Comprehensive global paid parental leave program.
• Free telemedicine and mental wellness support.
• Focus on physical, mental, and financial wellness across all global offices.

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, 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.