Research Internship - Music Recommendation (m/f/d)

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 eighteen 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!

Job Description

Research Topic  -- Better than average: how to represent artists embeddings from their tracks embeddings?

Most modern recommender systems rely on a compressed representation to model items: embeddings. A profusion of techniques may provide such representations: matrix factorisation (e.g., diagonalisation, SVD, NMF), word2vec-like sequence embedders, or as a by-product of a deep neural network learning task (e.g., VAE, Transformer). Said embeddings are often latent, and their coordinates do not have a direct interpretation and meaning; namely, it is only taken as a whole that the structure and relative positions of embeddings start to make sense. The goal of this internship is to explore embedding aggregation strategies beyond the widespread choice of the average, or, alternatively, to structure the embedding space in ways that make the average make sense. The underlying application is to be able to represent several types of items (tracks, albums, artists, playlists, user history…) in a unified way

This internship has a start date on February onwards and has a duration of 6 months.

Qualifications

This role is perfect for someone with:

• Master / PhD student with a background in Computer Science, Applied Mathematics, Machine learning, or Statistics.

• Strong knowledge of applied machine learning and data mining.

• Good programming skills for data processing and experimentation (preferred python)

• Creativity and autonomy

At Deezer, diversity drives innovation. Whatever makes you uniquely you, your experiences, your way of thinking, your journey, might be exactly what we need.
If this role speaks to you and aligns with your interests and capabilities, even if you don’t meet 100% of the

qualifications

Additional Information

Please apply with an up to date resume AND a detailed cover letter.

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

• Join over 70 Deezer Communities to connect beyond your day-to-day work, share passions, learn from each other and #Belong

• Deezer parties several times a year and drinks every thursday

• Allowance for sports, travelling and culture

• Meal vouchers

• Mental health and well-being support from Moka.Care

• Great offices always located in dynamic and attractive districts, whether in Paris, London 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 !