Machine Learning Engineer II, Tim Hortons

2105 The TDL Group Corp./ Groupe TDL Corporation; Toronto; On-site; CAD 85,000 - 110,000; Full time

Job summary

A leading restaurant brand is seeking a Machine Learning Engineer II for its Advanced Analytics team in Toronto. The role involves developing and deploying machine learning models to enhance operational efficiency and customer experience. Ideal candidates will have strong programming skills in Python and experience with machine learning frameworks. This full-time position requires in-office attendance five days a week.

Benefits

Comprehensive global paid parental leave program

Free telemedicine support

Mental wellness support

Qualifications

• Proven experience as a Machine Learning Engineer or similar analytical role.
• Strong understanding of machine-learning concepts such as regression and clustering.
• Experience developing machine-learning algorithms and statistical models.

Responsibilities

• Develop and deploy machine learning models for operations and customer experience.
• Improve models through performance monitoring and feedback.
• Collaborate with teams to integrate AI into production systems.

Skills

Experience with Python

Machine Learning frameworks (Scikit-Learn, Pytorch)

SQL proficiency

Familiarity with AWS

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

PySpark

Databricks

Job description

Machine Learning Engineer II, Tim Hortons page is loaded

Machine Learning Engineer II, Tim Hortons

Apply locations Corp - Toronto Corporate Office time type Full time posted on Posted 4 Days Ago job requisition id R1893

Ready to make your next big professional move? Join us on our journey to achieve our big dream of buildingthe 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 billionin 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.

Tim Hortons is one of North America's largest restaurant chains operating in the quick service segment, with more than 4,800 system wide restaurants located in Canada, the United States and around the world.

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.

This position is based in Toronto, ON and is in the office 5 days a week.

Role & Responsibilities:

• 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.

Qualifications:

• Bachelor's 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.

• 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.

#TimHortons

Benefits at all of our global offices are focused on physical, mental and financial wellness. We offer unique and progressive benefits, including a comprehensive global paid parental leave program that supports employees as they expand their families, free telemedicine and mental wellness support.

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.