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Machine Learning Internship - (H/F)
  • Python
  • SQL
  • Machine Learning
  • NLP
  • Scala
  • Keras
  • scikit-learn
  • BigQuery
  • PyTorch
75017 Paris
111 days ago
Company Description

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.

Job Description

Dailymotion is seeking a Research Machine Learning Scientist Intern to join our Machine Learning team, and especially, the team responsible for our recommendation engines. 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 Machine Learning team developed a recommender engine to promote the appropriate content to the right user, retain our audience and thus generate more engagement in the platform. In order to keep up to the market, we have some tracks to add new/improved features. One of which is the visual information of the videos’ thumbnail. Combining this information with “labels” to effectively categorize our catalog will be key for many transverse businesses of Dailymotion and have a positive impact for buyers (placing a commercial 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 performance is interesting, and joint work with multiple teams to provide them with a decision support tool.

As an Intern Research Machine Learning Scientist, you will:

  • Try, evaluate and benchmark state-of-the-art detection of contents in thumbnails & image captioning
  • Implement a scalable prototype in Python of a state-of-the-art algorithm to build a fully automated classification of the videos based on the thumbnails & their associated labels.
  • Translate a business KPI into a technical one and validate the algorithm performance, in a realistic frame, on an evaluation dataset of videos from our catalog.
  • Optionally, help in the industrialization of the solution in the Dailymotion framework of image ingestion, etc.

  • MS in Data Science / good knowledge of standard machine learning algorithms with a focus on: classification problems, object recognition, computer vision, NLP, Neural Networks (auto-encoders, RNN, CNN, …).
  • Strong coding skills in Python (Scikit-learn, Tensorflow, Keras) and SQL. PyTorch is a plus.
  • Some knowledge of agile development methodologies (Git/Github, PyCharm, Docker)
  • Some fluency in English (spoken, written).
  • Experience with Google Cloud Platform is a plus (BigQuery, Cloud ML & Cloud Storage)

Additional Information
  • Location: Paris.
  • Start date: ASAP
  • Contract type: Full-time internship (4 to 6 months)

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