Research Internship - Curiosity Modeling

Research Internship - Curiosity Modeling

Intern Paris, IDF, France

Company Description


From a French tech start-up created in 2007, Deezer has become one of the first French unicorns and the second largest independent music streaming platform in the world.

Now listed at the #Euronext  #TechLeaders segment, growth is accelerating fueled by #Thepowerofmusic. Deezer is ideally positioned to play a key role in the continued development of the booming music streaming market. If you’re looking for an environment where you can grow and have an impact, this is the perfect time to join Deezer!

Our international and passionate teams are spreading the love for music, working to make Deezer the most personal and innovative music streaming service.

We believe music is about diversity & inclusion, multiculturalism and togetherness.

Ready to join the team? Listen: **Join Us**

Job Description

One of the main interests of joining music streaming platforms is being able to discover new songs and artists to listen to. Be it through algorithmic or editorial recommendation, Deezer users discover new songs daily. However, not every person needs the same amount of discovery, people have different interests for novelty or  levels of curiosity. Moreover, this interest has many levels, some users, more specialists, are very interested in discovering music from a given genre, while others might enjoy a little bit of everything. While recommender systems literature is going towards more beyond accuracy metrics such as serendipity, novelty, and diversity, there’s no one-fits-all solution to how much novelty is relevant.

One very promising perspective for personalizing recommendation to users’ curiosity is explicitly accounting for it based on psychological findings about curiosity, arousal and conflict. The goal of this internship is to dive into the literature on the subject to define data-based actionable metrics of curiosity. 

The intern will be supervised by research scientists and engineers from the Deezer Research team, who will provide practical and scientific help with the performed task. The intern is nonetheless encouraged to propose solutions and work autonomously. For experiments, we ensure data availability (both quantitative and qualitative), cutting-edge technology and appropriate calculus power.

Kindly submit a cover letter detailing why this internship aligns with your interests. Applications lacking a cover letter will not be considered.


  • Master / PhD student with a background in Computer Science / Applied Mathematics / Statistics / Cognitive Sciences.
  • Strong knowledge on applied machine learning and data mining 
  • Good programming skills for data processing and experimentation (preferred python)
  • Creativity and autonomy is a must!

Additional Information


At Deezer, you can be your true self as we believe that #everyvoicematters. We strive to build an inclusive culture and foster a diverse environment. Because we care and want to ensure each employee feels welcome and safe at work, we continuously focus on fighting biases and helping diverse teams work well together through multiple learning opportunities, e-learnings and workshops right from the onboarding :

  • Regular Diversity & Inclusion internal and external talks
  • Dedicated employee work streams on Gender equity, Ethnicity & Culture, Disability and LGBTQ+
  • Multiple e-learnings and mandatory training sessions for all managers
  • English and French courses for all, so that everyone can connect and feel included

Beyond benefits like health insurance, meal vouchers, transportation, we offer you extra perks like:

  • A Deezer premium family account for free
  • Access to gym classes
  • Deezer parties several times a year and drinks every thursday
  • Allowance for sports, travelling and culture …
  • Great offices always located in dynamic and attractive districts, whether in Paris, London, Berlin or Sao Paulo!

If you want to learn more about life and culture at Deezer, please visit our Welcome to the Jungle page here!

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