Build machine learning product systems at Faire with backend engineering and experimentation skills in a hybrid work model. Improve listings across millions of products.
As a Senior Product Engineer on the Listing Quality team, you will connect Brand Data Science outputs with Faire’s live product. Your work spans backend services, data pipelines, computer vision, LLM outputs, and online experiments. You will help retailers discover well-curated products while maintaining dependable catalog-scale systems.
Key Responsibilities:
- Build backend services moving model enhancements into the live product
- Design dependable generation infrastructure with monitoring and versioning
- Create contracts, auditing tools, and evaluation hooks for experiments
- Ship flagged changes and own launch readiness and post-launch health
- Mentor engineers on technical and product judgment
Requirements:
- Five or more years of engineering experience
- Experience operating data pipelines with Airflow or similar
- Comfort working with production ML or LLM outputs
- Fluency designing experiments and interpreting results
- Bachelor’s degree or equivalent industry experience
Apply senior backend, machine learning, and experimentation expertise to improve Faire’s product listings reliably at catalog scale.
📌 Senior Machine Learning Product Engineer (Toronto)
🏢 Faire
📍 Toronto