Research Internship Music Recommendation (mfd)
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Posted on:
9 hours ago
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1 Vacancy
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Job Summary
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 dont meet 100% of the qualifications listed please give it a try and tell us more! #BeYou
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
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!
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Experience Working With Students
- Time Management
- Classroom Management
- Algebra
- Behavior Management
- Classroom Experience
- Lesson Planning
- Smartsheet
- Special Needs
- Teaching
- Experience with Children
- Dancing
About Company
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 ra ... View more
