Design and deliver offline evaluation frameworks with explicit success criteria - ranking metrics, held-out AUC, time-respecting splits, and point-in-time correctness - so that an offline win reliably predicts online lift. Design and operate our ML platform layer - feature store, reproducible training pipelines, and cloud training job submission - so retraining is cheap and routine rather than a project. Design and implement agentic AI solutions that automate model improvement - extending our in-house harness where an AI agent proposes changes, scores them against a locked benchmark, and keeps only what measurably helps, under human review.

Lead optimization and orchestration of end-to-end analytical pipelines across multiple data sources and modelling workstreams to ensure scalability and production reliability. S, preferably in Computer Science/Statistics/Math/Engineering or a related quantitative discipline. PhD an asset. 3+ years experience developing and deploying machine learning solutions in production - owning data, training, evaluation, release, and operational support.

Expert-level Python, writing production-grade ML code rather than notebooks handed off for deployment. 4+ years of experience querying and analyzing large datasets with tools such as SQL and Spark, with demonstrated depth in PySpark. Demonstrated experience with recommender systems or large-scale ranking, and the judgment to know which technique a problem actually requires. Production experience with a major cloud ML platform - Vertex AI preferred; SageMaker or Azure ML acceptable - including custom training jobs, artifact management, and cost control.

Familiarity with BigQuery and cloud-based data structures is an asset.

Experience designing and orchestrating multi-stage analytical pipelines with workflow optimization, preferably Apache Airflow at production scale. Familiarity with agentic AI architectures, LLM-based solutions, and working fluently with coding agents is a solid asset.



Infrastructure-as-code experience (Terraform) and cloud IAM familiarity is an asset.

Excellent oral and written communication skills, with the ability to communicate both technical and business concepts, as well as solid presentation skills. Demonstrated ability to work independently with minimal supervision, effectively navigating and resolving ambiguous problems and situations.

Location: Toronto, Ontario (Hybrid: In-office 4 days a week) Comprehensive benefits and retirement programs Performance incentives Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role.

Canadian Tire

Corporation, Limited ("CTC") is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward.

We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees.



Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. Our Commitment to Diversity, Inclusion and Belonging We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do.

We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better. We stand firm in our Core Value that inclusion is a must.

We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs. With world-class owned brands and exciting market-leading merchandising strategies, we are continually innovating with purpose: to excite and serve Canadian customers from coast-to-coast.

We are connected to communities, big and small, from coast-to-coast, offering products and services that reflect the diverse nature of every one of them. From sports to outdoors, automobiles to homes, we know and understand life in Canada like no other retailer. We are always on the lookout for curious, creative people who are able to navigate and excel in a rapidly evolving retail environment.

If you’re ready to take on new challenges – be it in digital, IT, marketing, data & analytics, merchandising, or one of the many other roles we have – there is a place for you here, so #

📌 Senior AI/Machine Learning Engineer (Toronto)
🏢 Canadian Tire Corporation
📍 Toronto