Research Internship - Version Identification

Company Description

LIVE THE MUSIC WITH US 
From a pioneer 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.

At sixteen years old, we’re only just coming of age. Now listed on #EuroNext, Deezer is a rapidly-growing, cutting-edge player in the music streaming market. If you want an environment where you can make your voice heard and be at the forefront of music and tech, look no further!

We believe music is all about embracing the things that make us different. 

Deezer is a vibrant community that celebrates uniqueness, diversity and individuality, and thrives on collaboration.

Our international and passionate teams pride themselves on being at the forefront of the music experience, going beyond streaming and helping the world to Live the Music. We’re constantly evolving alongside our customers, partners, artists and employees — striving to make Deezer the most personal and innovative streaming service in the world.  

Ready for an electrifying journey? Apply now and do your part in bringing extraordinary music experiences to people’s lives!

**Join Us**

Job Description

Audio content identification is an essential task for music streaming platforms. It is used for many purposes, including catalog cleaning, innovative product features, or efficient copyright management. Witnessing music delivery rates constantly increasing in the last decade, Deezer has been actively involved in developing and improving its identification methods over the years. 

In this study, we will focus on musical versions, defined as “any rendition or performance of an existing musical work”. Identifying two recordings as being versions of the same musical work is quite complex, as many musical dimensions may be heavily affected between both. For instance, new renditions might alter the harmonic, melodic, rhythmic, timbral, or structural content of the original performance, among others. This internship will aim at leveraging lyrics at scale in order to identify versions at scale in a large music catalog.

Qualifications

• Master / PhD student with a background in Computer Science / Computational Linguistics / Applied Mathematics / Statistics.
• Strong knowledge of music analysis, natural language processing, applied machine learning and data mining
• Good programming skills for data processing and experimentation (preferred python)
• Creativity and autonomy

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 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 …
• Meal vouchers
• Great offices always located in dynamic and attractive districts, whether in Paris, London, Berlin or Sao Paulo!
• Hybrid remote work policy

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