Staff Research Scientist - Music

2 hours, 5 minutes ago
Full-time
Senior
Data Science and Analytics
Spotify

Spotify

Spotify is a leading global audio streaming service empowering artists and inspiring fans worldwide with over 70 million tracks. It has 365 million users, including 165 million subscribers, across 178 markets.

Media
Founded 2006

Description

  • Conduct research in music generation using diffusion, flow matching, autoregressive models, and related methods.
  • Explore related areas such as ML-based audio processing, music information retrieval, machine learning, and signal processing.
  • Run large-scale experiments using Spotify’s infrastructure and access to a global audience of more than 700 million monthly active users.
  • Develop practical applications that use generative technologies to create new listening experiences.
  • Collaborate with scientists, engineers, product managers, designers, user researchers, and analysts on cross-functional problem solving.
  • Contribute research that has a direct impact on Spotify’s products, tools, and services.
  • Publish findings, give talks, and participate in top research conferences.
  • Help shape products that support artist-fan connection and artist-first AI experiences.

Requirements

  • Ph.D. in Computer Science, Mathematics, Engineering, or a related field.
  • Previous industry experience is helpful.
  • Experience in one or more of: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.
  • Publications in venues such as ICASSP, ISMIR, INTERSPEECH, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, or ICCV, or related conferences.
  • Strong coding skills in Python, PyTorch, and NumPy.
  • Ability to explain complex topics in simple terms.
  • Ability to build strong relationships with colleagues and stakeholders.
  • Passion for building products that create value for millions of people.
  • Interest in turning research ideas into products that operate at scale.
  • Ability to work within the EMEA region and collaborate during CET/GMT core hours.

Benefits

  • Remote flexibility within the EMEA region.
  • Core collaboration hours aligned to CET 3pm-6pm / EST 9am-12pm.
  • An inclusive, accessible hiring process with reasonable accommodations available.
  • Opportunity to work on high-impact products at a global audio platform.
  • Direct access to large-scale infrastructure and a massive user base for research experiments.

Interested in this position?

Apply directly on the company website

Apply Now

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