Candidates for this position are to be based, or plan to relocate, to Toronto, ON and will be expected to comply with their team's hybrid work schedule requirements. Our teams are onsite in our Toronto office Tuesday-Thursday, and remote Monday and Friday.

Who We Are:
Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this Wayfair builds and leverages cutting edge Machine Learning and AI products and we are looking for talented individuals to join us. You will be part of a cross-functional, team-oriented team driving development of world-class ML systems that drive real-world impact.

What You’ll Do:
Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers
Develop cutting-edge GenAI and LLM applications powered by reinforcement learning to optimize content across marketing channels.
Architect Wayfair's GenAI-driven content optimization infrastructure, balancing cost and performance.
Research GenAI content-generation applications beyond existing short-form text use cases, including long-form text and images.




Build agentic AI solutions that generate insights and optimize channel analytics workflows.
Empower non-Science stakeholders to optimize content using centralized algorithms and production systems

We Are a Match Because You Have:
Minimum 0+ years of experience with PhD, or 2+ years of industry experience with MS, or 4+ years of experience with a BS in a quantitative STEM field.
Proficiency in Python or one other high-level programming language
Must have a solid theoretical understanding and solid hands-on expertise deploying machine learning solutions into production.
Robust written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity
Intellectual curiosity and enthusiastic about continuous learning

Nice to Have:
Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)

Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow)

📌 Machine Learning Scientist Ii Marketing Optimization Toronto (Canada)
🏢 Wayfair Canada ULC
📍 Canada