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Software Development - Co-op Student at Loblaw… · Toronto
Skills
Job Description
At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experience, or designing an app that will impact the lives of people across the country, we’re up for the challenge. From our office in Downtown Toronto, we’ve created leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, and apparel spaces, and we’re only just getting started.
Why is this role important?
Fall 2026 Work Term
Term Length: 4 months
Term Start: September 8, 2026
Term End: December 18, 2026
The pay range for the co-op student role will reflect factors such as the candidate's experience, academic level, and the specific skillset required for the role.
Loblaw has adopted the following hybrid working model (a combination of working between the office and remotely). Colleagues can work remotely up to 1 day a week, while spending the other 4 days in the office (to be determined by each business unit).
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.
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!
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.
If you have big ideas, undeniable enthusiasm, and thrive in a collaborative, creative, and diverse group, we’ll get along just fine.
Looking for a challenge? Good. Love an innovative work environment? Even better.
Apply today.
Employment Type:
Full timeType of Role:
Temporary (Fixed Term)Loblaw Digital recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.
In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.
Hiring Range / Échelle salariale à l’embauche :$35,100.00 - $65,700.00 / 35.100,00$ - 65.700,00$ (per year / par an)A candidate’s experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position. This posting is for a newly created position. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position. / L’expérience et les connaissances d’un candidat ainsi que la région géographique dans laquelle le poste est situé peuvent être prises en compte dans la rémunération qu’un candidat reçoit pour ce poste. Cette offre d’emploi concerne un poste nouvellement créé. L’entreprise utilise l’intelligence artificielle dans le but de filtrer, d’évaluer et/ou de sélectionner les candidats à ce poste.#EN
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