Dailymotion is the leading video discovery destination & technology that learns about your tastes over time, constantly surfacing the best, most relevant content on the web. Our mission is to provide the best video user experience for consumers on the market, connecting publishers and advertisers to engaged viewers who turn to Dailymotion for their daily fix of the most compelling music, entertainment, news, and sports content around.
Through partnerships with the world's leading publishers and content creators, France Télévisions, Le Parisien, CBS, Bein Sports, CNN, GQ, Universal Music Group, VICE and more, Dailymotion commands 3 billion monthly pageviews across its mobile app, desktop and connected TV experiences. Dailymotion is owned by Vivendi, one of the largest mass-media corporations in the world.
At Dailymotion, we‘re storytellers. We build the best place for people to enjoy the videos that matter. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring discoverable stories to life through premium content from the world’s best publishers. We do this by helping these publishers grow their audiences and monetize their content, their way.
Dailymotion is proud to be an equal employment opportunity and affirmative action employer. We value inclusion and we want you to help us thrive for a more diverse community.
Content characterisation: Use of multi modal (Textual, audio and/or visual) signals to characterize Dailymotion's content and contribute to a better user experience.
Dailymotion is seeking a Research Machine Learning Scientist Engineer to join our Machine Learning team, and especially, the team responsible of our content categorization. Your work will have an impact throughout Dailymotion’s business and help make data-driven decisions on products and strategy. You will be part of a team made up of several Machine Learning Scientists/Engineers, Data Engineers, and Data Analysts that closely work together on several machine learning projects including recommender systems, semantic annotations, fraud detection, etc.
In order to better understand, organize and expose our video catalog to our millions of active users, Dailymotion's Machine Learning team developed several models to categorize our content. Well-categorized content helps to design a better user experience through better recommendations, contextual ads, etc. In order to keep up to the market, we have some tracks to add new/improved features. One of which is multi-modal learning, combining textual, audio, and visual information to improve our catalog categorization. It is key for many transverse businesses of Dailymotion and has a positive impact on buyers (placing commercials on the appropriate video), but also for publishers and active users of the platform. Thus, the benefits of this internship could be huge, with the industrialization of the solution when the performances are interesting.
As an Intern Research Machine Learning Engineer, you will
At Dailymotion, we empower candidates to take action. If this job sounds like a great opportunity for you, be confident in your skills, we are always happy to meet you! If needed, we can accommodate our recruitment process for your special abilities.
Location: Paris, France possibly some remote
Duration/Type of contract: 4 to 6 months Internship (full-time)
Start Date: September
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