Business Analytics

Engineering Manager, Machine Learning

Back to Search

Referred applicants should not apply directly to this role.

All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®.

At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong. 

As the Engineering Manager, Machine Learning, you will lead a team of talented engineers in building and scaling cutting-edge machine learning solutions that power our advertising platform. You will be responsible for the technical direction and execution of projects that leverage machine learning to optimize ad targeting, personalization, campaign performance, and more.

What You'll Do:

  • Lead, mentor, and grow a team of Machine Learning Engineers, fostering a culture of collaboration, innovation, and technical excellence.

  • Design, develop, and deploy machine learning models and algorithms at scale on Google Cloud Platform (GCP), leveraging tools like TensorFlow, BigQuery, and Dataflow.

  • Build and maintain robust data pipelines to support machine learning models, ensuring data quality and integrity.

  • Collaborate closely with product managers, data scientists, and other engineering teams to define requirements, design solutions, and deliver impactful results.

  • Stay up-to-date with the latest advancements in machine learning and cloud technologies, identifying opportunities to enhance our platform and capabilities.

  • Foster a culture of continuous improvement by implementing best practices in software development, testing, and deployment.

What You'll Need:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

  • 5+ years of experience in software engineering, with a strong foundation in data structures, algorithms, and object-oriented programming.

  • 3+ years of experience building and deploying machine learning models in a production environment, preferably in the AdTech domain.

  • Proven experience leading and managing engineering teams, with a track record of successful project delivery.

  • Strong proficiency in Python and experience with machine learning libraries such as TensorFlow, scikit-learn, and PyTorch.

  • Expertise in building and deploying machine learning solutions on Google Cloud Platform (GCP), including experience with tools like BigQuery, Dataflow, and AI Platform.

  • Excellent communication, interpersonal, and problem-solving skills.

Bonus Points:

  • Experience with real-time bidding (RTB) systems and ad exchanges.

  • Familiarity with data privacy and security regulations in the AdTech industry.

  • Contributions to open-source projects or publications in relevant fields.

Why Work at Loblaw Digital?

  • Be part of a dynamic and collaborative team that is transforming the future of retail in Canada.

  • Work on challenging and impactful projects that leverage cutting-edge technologies.

  • Enjoy a competitive salary and benefits package, including opportunities for professional development and growth.

  • Make a real difference in the lives of millions of Canadians.

If you are a passionate and experienced engineering leader who thrives in a fast-paced environment and is excited about the opportunity to build innovative machine learning solutions that power the future of AdTech, we encourage you to apply!

Loblaw Digital is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where everyone feels challenged, appreciated, respected and engaged. We welcome applications from all qualified candidates and will accommodate individuals’ needs throughout the recruitment process.

Our commitment to Sustainability and Social Impact is an essential part of the way we do business, and we focus our attention on areas where we can have the greatest impact. Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to demonstrate leadership in these important areas. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People.

If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.

We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.  
 
Please Note:
Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.