Are you someone who thrives on helping others succeed, enjoys making an impact, and takes pride in guiding customers to the right solutions for their projects? If you’re also naturally curious and eager to keep learning, consider starting or growing your career with us at The Home Depot.

About the co-op/internship program:
Looking to turn classroom learning into real-world experience? The Home Depot Canada Internship/Co-op Program is your chance to apply what you’ve studied in a dynamic, hands-on environment. Over 16 weeks, you’ll work on projects that make a real impact, sharpen your skills, and build confidence for your future career.

Program highlights include:

• Comprehensive Onboarding: Gain insights into our business operations, organizational culture, and core values.
• Strategic Projects: Address genuine business challenges, explore innovative approaches, and contribute meaningful solutions.
• Project Presentation: Share your findings and project outcomes with senior leadership.
• Professional Development Sessions: Participate in weekly sessions designed to enhance skillsets, reinforce company values, and provide perspectives from leaders across the organization.
• Networking Opportunities: Establish connections with mentors and peers who will support your professional growth throughout the program.

Duration: January 4 – April 23, 2027 (16 weeks)
# of positions available: 2

• Location: Toronto Store Support Center – 1 Concorde Gate, North York (In office Monday – Friday)

Join Our Team:

At HD Tech, we are not just coding—we’re crafting the future of retail. Our team is a vibrant mix of engineers, data scientists, and problem-solvers who build and maintain intelligent applications that support our customers and associates. Think of us as the tech backbone behind both in-store experiences and operational efficiency.

And here’s the exciting part: we don’t just build software—we build data-driven solutions. From high-impact machine learning models to innovative, scalable tools with real ROI, our technology powers everything from store operations to predictive insights and associate productivity.

If you’re passionate about machine learning, data, and building intelligent systems that drive real-world impact, this is the place to be.

Job Summary:

We are seeking an AI Developer who is enthusiastic about artificial intelligence and has hands-on experience with various AI models. This role is ideal for someone who has spent some time in the field of AI, experimenting and implementing diverse models, and is keen to apply this experience to develop intelligent solutions that impact our products and services. 

Key Responsibilities: 

·       Design, develop, and maintain AI systems that align with business objectives. 

·       Experiment with various AI models to improve existing applications and to craft new solutions. 

·       Collaborate with cross-functional teams to integrate AI technologies with other software systems. 

·       Stay updated with AI trends and advancements to bring innovative ideas and technologies into the company. 

·       Analyze and improve the efficiency, scalability, and stability of current AI systems. 

·       Document and present model development, validation, and implementation details. 

Qualifications: 

·       Currently pursuing a university and/or college education in Canada and enrolled in a co-op program focused on Computer Science, Artificial Intelligence, Machine Learning, or a related field. 

·       Completed internships, co-op terms, academic projects, or research experience involving the implementation and optimization of AI/ML models

·       Proficiency in programming languages such as Python, R, or Java. 

·       Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). 

·       Ability to work with both structured and unstructured data. 

·       Strong problem-solving skills and creativity. 

·       Excellent communication and teamwork skills. 

The successful student will be currently enrolled in a Canadian accredited university or college throughout the period of the Internship/Co-op program.  In addition, you must be legally entitled to work in Canada by way of Canadian citizenship, permanent residency, or a valid study/work permit.

Nice to have:

·       Experience with cloud services (AWS, Google Cloud, Azure) related to AI and machine learning. 

·       Familiarity with machine learning algorithms and statistical modeling techniques. 

·       Contributions to open-source projects or active participation in the AI community. 

Technical Skills: 

·       Ingestion Pipelines: Experience with building and optimizing ingestion pipelines to efficiently process and manage large datasets. 

·       Model Training and Fine-Tuning: Proficiency in training and fine-tuning ML models to achieve optimal performance. 

·       RAG Pipelines: Knowledge of retrieval-augmented generation (RAG) pipelines to enhance model capabilities by integrating retrieval mechanisms. 

·       Time Series Forecasting: Experience with time series forecasting models to predict future trends based on historical data. 

·       Open-Source Models: Familiarity with integrating and customizing open-source models to meet specific project requirements. 

·       RLHF: Ability to apply reinforcement learning from human feedback (RLHF) to improve model performance through iterative feedback loops. 

·       Multimodal Models: Capability to add features to multimodal models that can process and analyze multiple types of data (e.g., text, images, audio). 

·       Cloud Services: Experience with cloud services (AWS, Google Cloud, Azure) related to machine learning for scalable and efficient model deployment. 

·       Machine Learning Algorithms: Familiarity with various machine learning algorithms and statistical modeling techniques to solve complex problems. 

·       Open-Source Contributions: Contributions to open-source projects or active participation in the ML community to stay updated with the latest advancements. 

What You’ll Gain:

• Accountability and execution experience aligned with key business strategies
• Exposure to cross-functional team collaboration
• Coaching and mentorship opportunities
• Performance feedback and leadership development
• Hands-on experience solving real-world problems in production environments
• Exposure to full software development lifecycles and modern DevOps practices
• Potential opportunity for a full-time role upon graduation

____________________________________________________________________________

Please note: Compensation will be based on year of study, prior internship experience, and academic performance.