Ad-supported streaming platform with 275K+ titles and ML-driven personalization
Tubi operates the largest free streaming service in the U.S., built on a heavy ML and data infrastructure stack (TensorFlow, PyTorch, Databricks, Snowflake, Airflow) that powers recommendation, ad optimization, and video personalization at scale. The hiring mix skews senior (39 of 87 roles) and engineering-focused (42 engineering roles vs. 3 sales), reflecting a product-and-data-driven growth model rather than outbound sales; active projects span ML pipelines, homepage ranking, and ads optimization—core levers for unit economics in ad-supported streaming.
Notable leadership hires: Associate Creative Director, Marketing Director
Tubi is a free, ad-supported streaming platform owned by Fox Corporation, offering over 275,000 movies and TV episodes plus nearly 250 FAST channels to U.S. audiences. The service competes on breadth of content and personalization rather than subscription fees, monetizing through advertising. The product infrastructure reveals deep investment in ML-driven ranking and recommendation (homepage personalization, content acquisition testing), video delivery optimization, and ads-stack modernization—all critical to maximizing engagement and ad revenue per user. Operations span San Francisco, with remote hiring across the U.S., Canada, and the U.K.
Tubi uses TensorFlow, PyTorch, Databricks, Snowflake, Kubernetes, AWS, Airflow, and Spark for ML pipelines and data infrastructure. Front-end includes React and Node.js; streaming SDKs include BrightScript, Roku, Apple TV, and Fire TV. Adopting Aspera, Frame.io, and Claude.
Active projects include ML pipelines, advanced recommendation systems, ads optimization, homepage ranking, video personalization, ML inference platforms, A/B testing for content, and dashboard development. Focus is on engagement, personalization, and ad revenue optimization.
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