What You'll Do

• Conduct cutting-edge research in music generation, 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 computing infrastructure, a catalog of over 100 million songs, and an audience of more than 600 million monthly active users.
• Create practical applications that harness generative technologies, pushing the boundaries of what’s possible in music listening experiences.
• Collaborate as part of an autonomous, 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.
• Experienced 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.
• Publications in communities such as ICASSP, ISMIR, Interspeech, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.
• Strong coding skills in the following languages/libraries: Python, NumPy, PyTorch / Tensorflow.
• You're a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
• Enthusiastic about learning more about audio processing and music information retrieval as well as developing research ideas into products operating at scale.
• You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues. 

Where You'll Be

• You'll be based in London or Stockholm.