
5001 - 10000 employees
Founded 2008
📱 Media
👥 B2C
🛍️ eCommerce
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.
🔥 0 minutes ago
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧬 Research Scientist
🇬🇧 UK Skilled Worker Visa Sponsor
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5001 - 10000 employees
Founded 2008
📱 Media
👥 B2C
🛍️ eCommerce
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 generative audio using diffusion or flow matching models • Run large-scale experiments with access to Spotify's infrastructure and audience • Create practical applications harnessing generative technologies • Collaborate with a cross-functional team to craft innovative solutions • Engage with the broader research community by publishing findings and delivering talks
• Ph.D. in Computer Science, Mathematics, Engineering, or a related field • Experience in generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, or related areas • Expertise in vocal/speech synthesis, post-training alignment techniques, or audio-to-audio generation and text-guided music editing • Publications at leading conferences such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV • Strong coding skills in Python, PyTorch, and NumPy
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities
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