Research Scientist – Music

Job Description:

  • conduct groundbreaking 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 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 findings, delivering talks, and attending top conferences

Requirements:

  • Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field
  • experience in 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
  • strong coding skills in Python, PyTorch, NumPy
  • creative problem solver passionate about building outstanding products
  • enthusiastic about turning research ideas into scalable products
  • able to explain complex topics in simple terms
  • enjoy building strong relationships with colleagues and stakeholders

Benefits:

  • health insurance
  • six month paid parental leave
  • 401(k) retirement plan
  • a monthly meal allowance
  • 23 paid days off
  • 13 paid flexible holidays
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