NLP Research Scientist - One year fixed term contract (m/f/d)

AI overview

Develop robust NLP systems for music item representation, improving user interactions and music recommendations for millions of listeners while collaborating with cross-functional teams.

Deezer is seeking an NLP research scientist with a strong academic background to join its Research team for a 1-year contract.

The team conducts long-term, exploratory research aimed at advancing knowledge representation of music content and understanding listener interactions with music.

With a catalog of several hundred million tracks and more than ten million users, enabling easy browsing, song retrieval, and music recommendations is a challenge. Your mission will be to develop robust, language-focused, musical item (i.e., songs, artists) representations, with the goal of enabling item or user description generation (e.g., playlist captioning, user preference summary) and supporting user interaction via natural language queries. This will have direct applications in both the recommender system and the search engine of Deezer.

You will collaborate with other researchers, production teams responsible for music recommendation and search, and music curators, and have access to large-scale data on music content and usage, allowing you to have a real-world impact on millions of music listeners.

What you will do: 

  • Define domain-specific evaluation schemes and collect data; 

  • Propose, develop, and evaluate NLP systems to create a music item representation space from multimodal data;

  • Collaborate with other researchers and with the recommendation and search; team, sharing ideas, knowledge, and projects;

  • Scientific watch;

  • Scientific communication (papers, publications, blogposts…). 

What we are looking for:

  • The candidate should hold a PhD (or equivalent research experience) and publications in NLP or in a related field.

  • Deep understanding of state-of-the-art methods in NLP.

  • Experience with training and fine-tuning language models and machine learning systems. Experience with ML on multimodal data would be a plus

  • Fluent in Python, NLP libraries (transformers, NLTK, spacy…), and a deep learning framework (PyTorch, …).

  • Ability to produce clean and reusable code.

  • Fluency in English. Knowledge of French would be a plus

  • Knowledge of the Docker environment would be a plus.

  • Knowledge of Music Theory would be a plus

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 listed, please give it a try and tell us more! #BeYou

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

  • 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

  • Deezer parties several times a year and drinks every other Thursday

  • 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!

Perks & Benefits Extracted with AI

  • Flexible Work Hours: Hybrid remote work policy
  • Regular social events: Deezer parties several times a year and drinks every other Thursday

Try Flow, only on Deezer. Listen to your music, when and where you want. Discover more than 56 million tracks, create your own playlists, and share your favorite tracks with your friends.

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