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About the Role

As a Machine Learning Engineering Co-op Student, you will contribute to advanced data, machine learning, and generative AI initiatives that support real business outcomes across the organization. This is an opportunity to discover how Sobeys operates, gain valuable insights and relevant experience, network with professionals, and get first-hand exposure to one of Canada’s largest grocers.

Responsibilities

• Build and maintain LLM-based agentic applications using frameworks such as LangGraph and LangChain, integrating tools to automate complex workflows
• Support the development of automated pipelines for training, testing, deploying, and monitoring ML models and agents using MLflow
• Create scalable data processing pipelines using PySpark within Databricks and Snowflake environments
• Implement and optimize traditional machine learning algorithms alongside generative AI techniques to solve business challenges
• Partner with business stakeholders to contribute to production systems that impact stores nationwide
• Deliver high-quality, scalable AI and data solutions
• Apply modern AI, ML, and agent-based approaches to real-world problems
• Work effectively across technical and business teams
• Support stable and monitored production systems

Requirements

• Currently pursuing a degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical discipline
• Curiosity for solving problems, strong execution drive, and enthusiasm for emerging technologies
• Strong communication skills with a collaborative, team-first approach
• Hands-on experience with agentic AI using frameworks such as LangGraph or LangChain and tools like MLflow
• Practical experience building scalable solutions using PySpark, SQL, Scala, or similar languages
• Understanding of traditional machine learning algorithms and core data structures
• Strong object-oriented programming skills
• Experience using Git for collaboration and code management
• Exposure to Spark, Databricks Asset Bundles, vector databases, RAG, FAISS, Streamlit, Databricks, Snowflake, or Azure DevOps/Pipelines
• Successful candidates will be required to provide documentation to prove their legal ability to work in the position during the onboarding process

Skills

• Agentic engineering
• LLM-based agentic applications
• LangGraph
• LangChain
• MLOps
• LLMOps
• MLflow
• Data engineering
• PySpark
• Databricks
• Snowflake
• Machine learning
• Generative AI
• Git

Location

• Hybrid

Work Type

• Co-op
• Hybrid

Experience Level

• Student
• Co-op

Education Level

• Degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical discipline

Salary/Compensations

• Compensation is determined based on qualifications, experience, and internal equity within the range provided.

Benefits

• Health and dental benefits
• Retirement and savings programs
• Employee Share Ownership Plan
• 10% in-store discount at participating banners
• Virtual healthcare
• Employee and Family Assistance Program
• Learning and development opportunities
• Parental leave top-up
• Paid vacation
• Monthly socials
• Food and chess clubs
• Seasonal table tennis tournaments

About the Company

• Sobeys Inc. is celebrated among Canada’s Top 100 employers.
• Sobeys is one of Canada’s leading grocery retailers, with more than 1,600 stores across all 10 provinces and banners including Sobeys, Safeway, IGA, Foodland, FreshCo, Thrifty Foods, and Lawtons Drug Stores.
• Our 128,000 teammates and franchise affiliates are passionate about delivering great food and exceptional experiences to our customers and communities.

Equal Opportunity

• Sobeys is committed to creating accessible and inclusive hiring processes. We will work with applicants requesting accommodation at any stage of the recruitment process.