Machine Learning Engineer II, Tim Hortons

Tim Hortons; Toronto; On-site; CAD 150,000 - 240,000; Full time

Job summary

A leading company in the quick service segment is seeking a Machine Learning Engineer II to join their Advanced Analytics team in Toronto. This role involves building and deploying machine learning models that enhance operational efficiency and customer experience. Candidates should have a strong background in computer science, programming, and relevant experience in machine learning frameworks. The company offers benefits focused on wellness, career progression, and a collaborative work environment.

Benefits

Comprehensive global paid parental leave program

Free telemedicine and mental wellness support

Qualifications

• Proven experience in a Machine Learning Engineer or Data Scientist role.
• Experience developing ML algorithms using frameworks like Scikit-Learn and PyTorch.
• Ability to deploy ML models to cloud platforms.

Responsibilities

• Develop and deploy machine learning, deep learning, and GenAI models.
• Continuously improve ML models by monitoring performance and conducting A/B testing.
• Collaborate with cross-functional teams to integrate AI solutions.

Skills

Machine Learning

Deep Learning

AI

Programming

Collaboration

Education

Bachelor's degree in Computer Science, Engineering, Statistics, or Mathematics

Tools

Python

PySpark

Databricks

SQL

AWS

Job description

Machine Learning Engineer II, Tim Hortons

Machine Learning Engineer II, Tim Hortons

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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.

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.

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Food and Beverage Services

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