Spotify - Senior Research Scientist
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Requirements
• Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing. • Run large-scale experiments with access to Spotify’s extensive infrastructure and an audience of more than 700 million monthly active users. • Create practical applications that harness generative technologies, pushing the boundaries of what’s possible in listening experiences. • Collaborate as part of a cross-functional team—working closely with scientists, engineers, product managers, designers, user researchers, and analysts—to craft innovative solutions to complex challenges. • Have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization. • Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences. • You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful. • You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas. • You have publications in communities such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related. • You have strong coding skills in the following languages/libraries: Python, PyTorch, NumPy. • You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people. • You are enthusiastic about learning more about turning research ideas into products operating at scale. • You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders. • We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location • This team operates within the Central European and GMT time zone for collaboration. • Core working hours are CET 3pm-6pm / EST 9am-12pm.
Responsibilities
• Conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing. • Run large-scale experiments with access to Spotify’s extensive infrastructure and an audience of more than 700 million monthly active users. • Create practical applications that harness generative technologies, pushing the boundaries of what’s possible in listening experiences. • Collaborate as part of a cross-functional team—working closely with scientists, engineers, product managers, designers, user researchers, and analysts—to craft innovative solutions to complex challenges. • Have a direct impact on Spotify’s products, tools, and services, working on projects that influence the entire organization. • Engage with the broader research community by publishing your findings, delivering talks, and attending top conferences.
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