
Software Development Co-op
City : Toronto, Ontario
Category : Full time
Industry : Technology
Employer : Shoppers Drug Mart®
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.
Term Length: 4 Months, Winter 2024
Term Start: January 8, 2024
Term End: April 19, 2024
At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experiences, or designing an app that will impact the lives of people across the country, we’re up for the challenge. Loblaw Digital is the team responsible for building and operating the online businesses of Canada’s largest and most successful retailer. Based in downtown Toronto, we are an entrepreneurial, fast-paced, and collaborative team working towards transforming the way Canadians shop by creating leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, loyalty, and apparel spaces, and we’re only just getting started! To achieve these goals, we are looking for talented and passionate individuals who want to collaborate and solve challenging problems and make a significant and lasting impact on Canadians.
As a Machine Learning Engineer Co-Op on our team, you will play a vital role in our AI-driven initiatives by working alongside our skilled machine learning, data science, and engineering teams. Your primary responsibility will be to design and develop machine learning and generative AI based solutions that address critical business challenges. You will have the chance to collaborate with cross-functional teams, including machine learning scientists, software engineers, and product managers, to deliver innovative solutions that enhance customer experiences and optimize internal processes.
What you’ll do
- Build ML / generative AI solutions using massive structured and unstructured datasets from various sources across the company
- Work with Engineering and Data Platform teams to build and deploy your ML models into production
- Work cross-functionally with business teams — Product, Trading, Marketing, Supply Chain, Web Analytics, etc. — to source data, establish requirements, and define success
- Stay up to date with the latest advancements in machine learning and AI technologies, contributing your knowledge to the team's growth and learning.
Does this sound like you?
- Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
- Strong interest in generative AI and its applications
- Strong foundational knowledge in machine learning
- Creative, resourceful, and productive problem-solver
- Able to work independently and collaboratively
- Passion for building ML solutions to fluid, open-ended problems
- Comfortable with SQL querying
- Proficient in Python, knowledge of any ML framework is a plus
- A portfolio of personal or academic machine learning projects is a plus
How you’ll succeed
At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections. We’re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce.
You will get to work with some of the best digital minds and will have the support of world-class technologies to craft products our customers will love!
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.