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Research Scientist – Audio Understanding

We are looking for a Research Scientist to help us define and build the next generation of ML-based audio technologies. Our team expands the state of the art in AI-based machine listening technology, which enables intelligent, efficient, and intuitive ways to search, re-use, explore, or process audio and music. We build products for end-users, for artists, for producers, for labels and publishers, for managers, for advertisers – projects that cut across all of Spotify. We build features to improve products and lay the foundations for disruptive new product opportunities.

What you’ll do

  • You will participate in cutting edge research in ML-based Audio Processing, Music Information Retrieval, and Machine Learning.
  • You will apply your scientific knowledge to develop and evaluate machine listening methods, combining machine learning, signal processing, probabilistic modeling, and many other fields. 
  • You will run experiments at scale, having access to a catalog of 60M+ songs, 299M+ monthly active users, and making use of Spotify’s computing infrastructure.
  • You will work on practical applications enabling users and internal teams to search, re-use, explore and process audio and music in novel ways.
  • You will be a valued member of an autonomous, cross-functional team working in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions to challenging problems.
  • You will have direct impact on Spotify’s products, tools, and services, working on projects that cut across the entire organization.
  • External engagement such as publishing, giving talks, and attending top conferences is encouraged.

Who you are

  • You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related discipline. Previous industry experience is preferred.
  • You have experience in one or more of the following fields: machine learning, music information retrieval, speech processing, signal processing, probabilistic modeling, computer vision, or related disciplines.
  • You have publications in communities such as ICASSP, ISMIR, Interspeech, ICLR, AAAI, IJCAI, NeurIPS, ICML, CVPR, ECCV, ICCV, or related.
  • You have strong coding skills in the following languages/libraries: Python, NumPy, TensorFlow / PyTorch.
  • You are a creative problem solver who is excited about building amazing products that add real value to millions of people.
  • You are enthusiastic about learning more about audio processing and music information retrieval as well as developing research ideas into products operating at scale.
  • You can explain complex topics in simple terms, and you love building strong relationships with colleagues and stakeholders.
You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 299 million users.

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