Lead ML Engineer

Your New Company

You’ll be joining a leading Canadian digital organization building advanced eCommerce experiences across grocery, beauty, pharmacy, loyalty, and apparel. This team handles millions of daily customer interactions and is transforming the way Canadians discover and shop for products. With a strong focus on machine learning, deep learning, and cutting‑edge GenAI, the company is redefining personalization at national scale.

Your New Role

As a Lead Machine Learning Engineer, you’ll lead the development of next‑generation personalization systems, including a multimodal recommendation engine and emerging generative AI initiatives. You’ll work with massive datasets, architect production‑grade deep learning models, and build scalable ML infrastructure on GCP. Your work will directly impact how millions of Canadians experience personalized product discovery and engagement.

What You’ll Need to Succeed

• Master’s or PhD in Computer Science, Machine Learning, or related field
• 10+ years of experience in ML engineering, ideally focused on personalization or recommendation systems
• Expertise in PyTorch or TensorFlow, and deploying ML models to production
• Hands-on experience with GCP (Vertex AI, BigTerable, BigQuery, AlloyDB, Cloud Composer)
• Strong Python and SQL skills
• Experience with containerization and orchestration (Docker, Kubernetes)
• Proven success building scalable, production ML pipelines end‑to‑end

Preferred:

• Experience with multimodal DL architectures and generative AI models
• Knowledge of transformer‑based recommenders and modern RS architectures
• Experience building real‑time inference systems
• Familiarity with Spark, large‑scale data processing, Airflow/Cloud Composer, CI/CD pipelines

What You’ll Get in Return

You’ll join a collaborative, high‑performing ML organization working on impactful, complex problems at massive scale. Expect competitive compensation, access to cutting‑edge ML and GenAI technologies, and a culture that values authenticity, trust, continuous learning, and innovation. Your work will shape the future of eCommerce personalization in Canada and touch the lives of millions.

What You Need to Do Now

If you’re passionate about building advanced personalization systems and want to make a national‑scale impact, we’d love to hear from you. Apply today and help redefine the future of digital retail powered by machine learning.