NLP Research Scientist

il y a 4 jours


Paris, France CHEManager International Temps plein

NLP Research Scientist - One year fixed term contract (m/f/d) 1 day ago Be among the first 25 applicants Company Description 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 the power of music. 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 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. Conduct scientific watch. Scientific communication (papers, publications, blog posts). Qualifications The candidate should hold a PhD (or equivalent research experience) and publications in NLP or 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, etc.), and a deep learning framework (PyTorch, etc.). 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. Diversity & Inclusion 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. Benefits & Perks A Deezer Premium family account for free. Deezer parties several times a year and drinks every other Thursday. Hybrid remote work policy. Beyond benefits like transportation, we also offer ongoing learning opportunities, e‑learnings, and workshops on diversity, equity, and inclusion. 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. If you want to learn more about life and culture at Deezer, please visit our Welcome to the Jungle page here #J-18808-Ljbffr



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