Research Scientist - Music

What You'll Do

• 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.

Who You Are

• 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.

Where You'll Be

• 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.