Senior ML/AI Engineer
Canadian Tire Corporation, Limited1 day ago
Toronto, CanadaSenior
Responsibilities
- Develop and deploy production machine learning solutions covering data preparation, training, evaluation, release, and operational support.
- Design offline evaluation frameworks with ranking metrics, held-out AUC, time-respecting splits, point-in-time correctness, and explicit success criteria.
- Research and apply modeling approaches including matrix factorization, two-tower retrieval, learning-to-rank, and sequential architectures.
- Build and optimize large-scale feature engineering pipelines in PySpark over hundreds of millions of transaction records.
- Design and operate ML platform capabilities including a feature store, reproducible training pipelines, and cloud training job submission.
- Develop agentic AI solutions that propose, evaluate, and retain measurable model improvements under human review.
- Lead optimization and orchestration of end-to-end analytical pipelines across data sources and modeling workstreams.
- Raise engineering standards through code review, documentation, and mentorship.
Requirements
- Bachelor’s or master’s degree in computer science, statistics, mathematics, engineering, or a related quantitative discipline; PhD is an asset.
- At least 3 years of experience developing and deploying machine learning solutions in production.
- At least 4 years of experience querying and analyzing large datasets with SQL and Spark, including demonstrated PySpark depth.
- Expert-level Python and experience writing production-grade machine learning code.
- Experience with recommender systems or large-scale ranking and with rigorous time-aware, point-in-time-correct offline evaluation.
- Experience with PyTorch or TensorFlow and gradient boosting libraries such as LightGBM or XGBoost.
- Production experience with Vertex AI, SageMaker, or Azure ML, including custom training jobs, artifact management, and cost control.
- Familiarity with BigQuery, cloud-based data structures, Apache Airflow, agentic AI architectures, LLM-based solutions, coding agents, Terraform, and cloud IAM is preferred or an asset.
- Retail, loyalty program, personalization, or ad-tech ranking experience is preferred.
- Strong oral and written communication, presentation, independent problem-solving, and ambiguity-navigation skills are required.
Benefits
- Comprehensive benefits and retirement programs.
- Performance incentives and continuing education programs.
- Well-being perks, career growth opportunities, product discounts, and broadband.
- Hybrid work arrangement in Toronto with four days per week in the office.
- Additional company programs include learning support, profit sharing, retirement and savings programs, and eligible mental health benefits.
Tech Stack
Categories
About Canadian Tire Corporation, Limited
Canadian Tire Corporation is a Canadian retail and financial services group best known for Canadian Tire stores selling automotive, hardware, home, and seasonal goods. It also operates SportChek, Mark’s, PartSource, Party City, and Gas+, owns Helly Hansen, and runs a credit card/loyalty business and CT REIT. Founded in 1922 and headquartered in Toronto, it is publicly traded on the TSX and operates a coast-to-coast dealer and franchise network.