The opportunity
We are seeking Research Scientists (across all levels of seniority) to join our Artist-First AI Music Lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists.
What you'll do
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 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.
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 processing, probabilistic modeling, computer vision, or related areas.
- 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 audio-to-audio generation and text-guided music editing.
- 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.
- 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 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.
