Software Development - Co-op Student

Loblaw Companies LimitedToronto, ON
Hybrid

About The Position

Loblaw Digital is seeking talented and passionate individuals to join their team and transform the way Canadians shop. This role is crucial for the company's AI-driven initiatives, where the co-op student will work alongside skilled machine learning, data science, and engineering teams. The primary responsibility will be to design and develop machine learning and generative AI-based solutions to address critical business challenges. The student will 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. The company operates with a hybrid working model, allowing up to 1 day of remote work per week, with the remaining 4 days spent in the office.

Requirements

  • 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.

Nice To Haves

  • Knowledge of any ML framework is a plus.
  • A portfolio of personal or academic machine learning projects is a plus.

Responsibilities

  • 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 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 knowledge to the team's growth and learning.

Benefits

  • The pay range will reflect factors such as the candidate's experience, academic level, and the specific skillset required for the role.
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