Hotstar

Principal Research Engineer in Recommendation System (BB-55A4A)

Found in: Neuvoo CN

Description:
Responsibility Key contributor of continuous improvements of the personalized experiences in Hotstar. Boost our users engagement and retention by fully utilizing Disney & Hotstar 's catalog. Manage recommendation projects, define engineering roadmaps and drive the technical solutions. Gain deep insight of our product and metrics, discover and revise the objectives of personalization, and participate in the long-term plan of the personalization team. Partner closely with the data analytics team, product team, and other teams to establish effective cross-team communications and cooperation. Design and build high-efficiency and high-quality recommendation systems through deep-learning algorithms. Monitor, maintain and improve the performance continuously over time. Apply state-of-the-art algorithms to real-world problems in multiple scenarios, e.g on-site recommendation, off-site notification and internationalization. Apply state-of-the-art algorithms to real-world problems in multiple scenarios, e.g on-site recommendation, off-site notification and internationalization. Identify and abstract the key objectives, factors and processes of recommendation engine, enrich recommendation and machine learning platforms and infrastructures. Keep track of both industry and academic research trends in related areas, including but not limited to recommendation, machine learning and distributed computation.

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