Design scalable personalization systems as a Staff Machine Learning Engineer at Tubi’s hybrid Toronto office. Apply deep learning and recommendation expertise.
Tubi seeks a highly skilled Staff Machine Learning Engineer for transformative video personalization projects. You will address complex machine learning problems at scale, supporting recommendations, search, content understanding, and ads optimization. The position partners with Product, Engineering, and Data Science teams.
Key Responsibilities: Lead advanced recommendation system design for global audiences
Optimize algorithms and systems for performance and scalability
Build robust pipelines from data extraction through deployment
Monitor and improve deployed model performance




Align machine learning solutions with product requirements
Requirements: 8+ years building production machine learning systems
MSc or Ph.D. in a related quantitative discipline
Deep learning experience with TensorFlow, PyTorch, or similar
Full-stack pipeline development and deployment proficiency
Knowledge of statistical testing, regression, and evaluation metrics
Bring recommendation systems, scalable pipelines, and technical leadership to Tubi’s video personalization work in Toronto.

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📌 Staff Machine Learning Engineer Toronto (Ontario)
🏢 Tubi
📍 Ontario