Research Scientist - Generative Audio

Job summary

Responsibilities

Conduct groundbreaking research in generative audio using diffusion or flow matching models, with a focus on one or more of the following areas:

• 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 and push 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…
• 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.

What they're looking for

• You have a Ph.D. 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…
• You have deep expertise in at least one of the focus areas above—whether that's vocal/speech synthesis, post-training alignment techniques (e.g., PPO, GRPO, DPO), or…
• You have publications at leading conferences such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related venues.
• You have strong coding skills in Python, PyTorch, and NumPy.

Tech stack

• Python
• PyTorch
• NumPy