Job Description & How to Apply Below
This hybrid role focuses on designing and implementing recommendation systems, optimizing machine learning performance, and collaborating closely with diverse teams. You will enhance user experiences by deploying robust ML pipelines and ensuring all models achieve business goals effectively.
Key Responsibilities:
• Design and develop global recommendation systems and algorithms
• Conduct deep dives into systems for optimization and scalability
• Build and deploy robust machine learning pipelines
• Monitor and optimize model performance post-deployment
• Collaborate with Product and Engineering teams on project alignments
Requirements:
• 3+ years of experience in production machine learning systems
• Advanced degree in Computer Science or related field
• Proficient with Tensor Flow, PyTorch, or similar frameworks
• Skills in statistical concepts and performance evaluation
• Ability to understand overall ML system architecture
Utilize your expertise in machine learning to shape personalized streaming experiences at Tubi in Toronto.
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Position Requirements
10+ Years
work experience
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