
Media • B2C • eCommerce
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.
October 23

Media • B2C • eCommerce
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.
• conduct groundbreaking research in music generation and audio processing • run large-scale experiments with Spotify’s infrastructure • create practical applications that harness generative technologies • collaborate with cross-functional teams to craft innovative solutions • engage with the broader research community by publishing findings and attending conferences
• Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field • experience in generative modeling, machine learning, music information retrieval, and more • publications in relevant communities (ICASSP, ISMIR, INTERSPEECH, etc.) • strong coding skills in Python, PyTorch, NumPy • creative problem solver passionate about building outstanding products • ability to explain complex topics and build relationships
• flexible to work where you work best within the EMEA region • operate within the Central European and GMT time zones for collaboration • core working hours are CET 3pm-6pm / EST 9am-12pm
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