Research Scientist - CTRL Paris
Data and Analytics – Marketplace /
The Paris CTRL (Creator Technology Research Lab) team conducts research to designing tools to assist artists in creating music, using the latest Artificial Intelligence techniques, as well as the huge data sets available at Spotify. The team has a strong background in AI-assisted music composition, and has already produced tools to help artists compose successful commercial music (see, e.g. the EP “American Folk Songs” by artist Skygge).
We are an energetic team, working at the cutting edge of machine learning and generative modeling and we are looking for a colleague who has a passion for creating innovative solutions to difficult research problems.
Would you like to apply your research to impact the way artists make music?
We are looking for a research scientist with a strong scientific/technical background who understands the importance of building truly useful tools.
You will join a team focused on designing, testing and implementing music generating algorithms that can be used productively by artists for reinventing music creation.
What you'll do
You’ll be joining a highly skilled, cross-functional team of talented researchers, engineers and musicians, in our awesome office in central Paris.
You’ll participate in projects aiming at bringing the power of AI to musicians of all genres and skills.
You’ll apply your scientific training typically to design and test algorithms that analyze audio or symbolic music data sets, to train machine learning models that learn how music is composed and produced, and use them to help users create new music.
You’ll work in collaboration with musicians, as well as other researchers, data scientists and engineers across Spotify and produce a wide range of results, from working prototypes to scientific papers and patents.
Who you are
- You have (or are soon to complete) a PhD in mathematics, physics, machine learning, statistics, computer science, or a closely related field.
- You actively participate and publish in related communities.
- You are a creative problem-solver who is passionate about solving complex problems and devising new approaches to reach results.
- You have experience with a wide range of generative machine learning techniques.
- You are fluent in Python and you can build prototypes that artists can use to create music, updating your design through short cycle interactions.
- You have exceptional analytical and problem solving skills, with the ability to think both quantitatively and strategically.
- You are enthusiastic about learning new techniques and technologies.
Please apply with a CV in English as soon as possible but no later than 7th January. Due to Christmas, we will start reviewing all candidates second week of January.
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 forward-thinking! 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 chance to enjoy and be passionate about 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 320 million users.