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Research Scientist, Generative Music AI

Spotify

Greater London

Hybrid

GBP 70,000 - 90,000

Full time

Today
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Job summary

A leading music streaming company is seeking a Research Scientist for their Artist-First AI Music lab in the UK. This role involves pioneering research in generative technologies for music, conducting large-scale experiments, and creating innovative applications that enhance listening experiences. Collaboration with diverse teams is key, along with the requirement for a Ph.D. in a relevant field and strong programming skills in Python, PyTorch, and NumPy. Compensation includes work flexibility and a commitment to inclusivity.

Benefits

Flexible working environment
Inclusive workplace
Opportunities for professional development

Qualifications

  • Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field required.
  • Experience in generative modeling, machine learning, or audio processing preferable.
  • Publications in top research conferences are valuable.

Responsibilities

  • Conduct innovative research in music generation and related ML technologies.
  • Run large‑scale experiments using Spotify’s infrastructure.
  • Collaborate with teams to create impactful products.
  • Collaborate with cross-functional teams to solve complex challenges.
  • Publish findings and engage with the research community.

Skills

Generative modeling
Machine learning
Audio processing
Signal processing
Python
PyTorch
NumPy

Education

Ph.D. in Computer Science, Mathematics, Engineering, or a related field

Tools

Python
PyTorch
NumPy
Job description
A leading music streaming company is seeking a Research Scientist for their Artist-First AI Music lab in the UK. This role involves pioneering research in generative technologies for music, conducting large-scale experiments, and creating innovative applications that enhance listening experiences. Collaboration with diverse teams is key, along with the requirement for a Ph.D. in a relevant field and strong programming skills in Python, PyTorch, and NumPy. Compensation includes work flexibility and a commitment to inclusivity.
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