Senior ML Engineer

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.

Senior ML Engineer, Brampton, ON

Loblaw Technology and Analytics is looking for an experienced, dedicated Senior ML Engineer to join our fast-growing team of Data Scientists, Engineers, Front-End Developers and Designers to build and enhance Loblaw's price optimization platform.

In addition to knowledge of cutting-edge machine learning models and techniques, you will bring experience in cloud-based development, engineering best practices and end-to-end product development. This includes the design and implementation of AI/ML algorithms, data pipelines, and ML infrastructure. You will assist teams of Data Scientists, ML Engineers, and Data Engineers in collaboration with an accomplished team of Product Managers and Designers to implement ML/AI solutions at scale. Our price optimization platform is critical to Loblaw’s long-term strategy, directly impacting revenue and customer satisfaction. As a Senior ML Engineer, you’ll play a key role in driving its evolution.

We are passionate about what we do and support each other’s growth! You will learn and grow with the team and will have the opportunity to work on a diverse set of challenges as you shape your career.

What You’ll Do:

• Provide architectural guidance and best practices to support internally built ML/AI applications (including feature enhancements and new microservices) and their integration with 3rd-party solutions across the teams’ project portfolio.
• Be a strong individual contributor who can demonstrate the feasibility of novel ML approaches and estimate business value at scale.
• Develop and execute ML Ops strategies to streamline the deployment, monitoring, and maintenance of machine learning models on Google Cloud Platform (GCP).
• Optimize ML processes to enhance scalability, efficiency, and cost-effectiveness of machine learning solutions in production.
• Collaborate with cross-functional teams (data scientists, engineers, project management, and business stakeholders) to deliver enhancements to existing functionalities and create innovative new features.
• Identify reoccurring use cases and drive a strategy to create assets and infrastructure that can be leveraged across the organization.
• Develop a highly engaged team by being an inclusive coach, mentor, and role model for all team members to help grow and promote our diverse talent pool.
  
  

Does This Sound Like You?

• 5+ years of industry experience in the development of large-scale production systems for machine learning, with a strong preference for experience defining technical strategy and leading junior engineers.
• Advanced proficiency with Data Science languages like Python, SQL, and their relevant libraries and frameworks.
• Strong experience building end-to-end applications in the cloud (e.g. GCP) and making appropriate architectural choices. Practical experience with ML Ops and DevOps best practices.
• Experience packaging and deploying applications as APIs using containerization technologies such as Docker and Kubernetes.
• Strong interpersonal skills including ability to work in a multi-functional environment and a keen ability to learn new tools, concepts, and subject matter.
• Experience in software engineering best practices (e.g. object-oriented programming, automated testing, writing ‘clean code’).
• Experience working with Git Workflows, Jira, and Confluence; especially in the context of Agile product development.
• A Master’s or Ph.D. degree in a quantitative field (e.g Computer Science, Engineering, Mathematics, Physics, etc.) is preferred.
  
  

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.

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