Lead cutting-edge machine learning initiatives at Tubi, designing advanced recommendation systems for a global audience. This hands-on role involves a strategic direction in personalization and ads optimization through innovative engineering. As the Director of Machine Learning Engineering at Tubi, you will be instrumental in crafting a solid ML team and ensuring high-performance deployment of models.

Your experience will guide complex algorithm design, focusing on personalization and recommendation foundation modeling. Collaborate with cross-functional teams to enhance user experience for over 100 million viewers, ensuring models are optimized for performance. Key Responsibilities:

- Lead and grow a high-performing ML engineering team




- Set roadmap for recommendation and personalization systems
- Conduct deep dives into algorithmic components
- Design and implement advanced recommendation algorithms
- Monitor and optimize performance of deployed models Requirements:
- 10+ years in machine learning with end-to-end system experience
- 3+ years in leadership roles focused on ML
- MSc or Ph.D. in Computer Science or related field
- Expertise in TensorFlow and PyTorch
- Proficiency in building full-stack ML pipelines Empower Tubi’s ML strategies while enhancing user engagement across the platform.

📌 Director of Machine Learning Tubi (Toronto)
🏢 Tubi - Canada
📍 Toronto