Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.
March 20
π½ New York β Remote
π΅ $132.1k - $188.7k / year
β° Full Time
π‘ Mid-level
π Senior
𧬠Research Scientist
π¦ H1B Visa Sponsor
Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.
β’ The Content Platform Research team strives to unlock step-change opportunities for Content Platform, Experience, and Spotify through rigorous scientific research and to share our discoveries with Spotify and the broader scientific community. β’ You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies meet and extend state of the art for the field and contributing to the broader research community by publishing papers.
β’ You have a PhD in one of computer science, machine learning, information retrieval, natural language processing, data science, speech or related areas. β’ You will have a strong knowledge of natural language processing, machine learning, large language models, evaluation, deep learning, optimization techniques, information retrieval, recommender systems, and search or data mining. β’ You have publications in research communities such as ACL, EMNLP, SIGIR, FACCT, NeurIPS, ICML, WSDM, WWW, RecSys, KDD, AAAI, or related. β’ Proven hands-on skills in sourcing, cleaning, manipulating, analyzing, visualizing and modeling of real data. β’ Good coding skills and are familiar with engineering standard methodologies, and are enthusiastic about learning new tools to enable experimentation at scale. β’ You have a passion for making sense of user behavior, especially podcast and music content, using best available methods. β’ You are a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results. β’ You are a strong and written and verbal communicator.
β’ health insurance β’ six month paid parental leave β’ 401(k) retirement plan β’ monthly meal allowance β’ 23 paid days off β’ 13 paid flexible holidays
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