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
🏢 Tubi
📍 Toronto