Research Internship - Version Identification
Paris, France
Deezer
The power of music. 120 million tracks, new music, exclusive features, on iOS and Android. Discover nowCompany Description
WE ARE THE HOME OF MUSIC
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 on #Euronext, 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
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!
Tags: Computer Science Data Mining Linguistics Machine Learning Mathematics NLP PhD Python Research Statistics Streaming
Perks/benefits: Career development Startup environment
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