Research Scientist – Music Spotify
Research Scientist – Music Spotify

Research Scientist – Music Spotify

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Conduct groundbreaking research in music generation and create innovative listening experiences.
  • Company: Join Spotify's Artist-First AI Music lab, a leader in music technology.
  • Benefits: Flexible work location, inclusive culture, and opportunities for professional growth.
  • Why this job: Make a real impact on music and connect artists with fans through AI.
  • Qualifications: Ph.D. in relevant fields and experience in generative modeling or machine learning.
  • Other info: Collaborate with a diverse team and engage with the global research community.

The predicted salary is between 36000 - 60000 £ per year.

We are seeking a Research Scientist to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-applied generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:

  • Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.
  • Choice in participation: We recognize there’s a wide range of views on the use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.
  • Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.
  • Artist‑fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans.

For more information, see this press release: Artist-First AI Music Spotify Collaboration.

What You’ll Do

  • 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—working closely with scientists, engineers, product managers, designers, user researchers, and analysts—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 your findings, delivering talks, and attending top conferences.

Who You Are

  • You have a Ph.D. degree in Computer Science, Mathematics, Engineering, or a related field. Previous industry experience is helpful.
  • You have experience in one or more of the following fields: generative modeling, machine learning, music information retrieval, speech processing, audio processing, signal processing, probabilistic modeling, computer vision, or related areas.
  • 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, PyTorch, NumPy.
  • You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.
  • You are enthusiastic about learning more about turning research ideas into products operating at scale.
  • You can explain complex topics in simple terms, and you enjoy building strong relationships with colleagues and stakeholders.

Where You’ll Be

We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location. This team operates within the Central European and GMT time zone for collaboration. Core working hours are CET 3 pm‑6 pm / EST 9 am‑12 pm.

Spotify is an equal opportunity employer. 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.

At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know – we’re here to support you in any way we can.

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.

Research Scientist – Music Spotify employer: Musicindustryyorkshire

Spotify is an exceptional employer that champions creativity and innovation within the music industry. With a commitment to inclusivity and fair compensation for artists, employees have the opportunity to work on groundbreaking research in a collaborative environment that values diverse perspectives. Located within the EMEA region, Spotify offers flexible working arrangements and access to a vast audience, empowering employees to make a meaningful impact on the future of music.
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Contact Detail:

Musicindustryyorkshire Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Scientist – Music Spotify

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those connected to Spotify. Attend music tech events or conferences where you can meet potential colleagues and share your passion for AI in music.

Tip Number 2

Show off your skills! Create a portfolio showcasing your research and projects related to generative music technologies. This will give us a clear idea of what you can bring to the table and how you can contribute to our mission.

Tip Number 3

Prepare for interviews by brushing up on your coding skills and understanding the latest trends in machine learning and music generation. We want to see how you think and solve problems, so practice explaining complex concepts in simple terms.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in being part of our team and contributing to the future of music.

We think you need these skills to ace Research Scientist – Music Spotify

Generative Modeling
Machine Learning
Music Information Retrieval
Speech Processing
Audio Processing
Signal Processing
Probabilistic Modeling
Computer Vision
Python
PyTorch
NumPy
Research Publication
Creative Problem Solving
Collaboration
Communication Skills

Some tips for your application 🫡

Show Your Passion for Music and AI: When writing your application, let your love for music and AI shine through! Share specific examples of how you've combined these interests in your research or projects. We want to see that you're not just qualified, but genuinely excited about what we do.

Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight relevant experience in generative modelling, machine learning, or any other areas mentioned in the job description. We appreciate when candidates take the time to connect their skills with our needs!

Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your research and achievements. We value clarity, so avoid jargon unless it's absolutely necessary. Remember, we want to understand your work without needing a Ph.D. to decode it!

Apply Through Our Website: Don’t forget to apply through our official website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining our team at Spotify. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Musicindustryyorkshire

Know Your Research Inside Out

Make sure you’re well-versed in your own research and any relevant projects. Be prepared to discuss your findings, methodologies, and how they relate to generative music technologies. This will show your passion and expertise in the field.

Showcase Your Coding Skills

Since strong coding skills are essential for this role, be ready to demonstrate your proficiency in Python, PyTorch, and NumPy. You might be asked to solve a coding problem or explain your previous projects, so brush up on your technical knowledge.

Understand Spotify's Artist-First Approach

Familiarise yourself with Spotify’s mission and values, especially their commitment to artists and creatives. Be prepared to discuss how your work can contribute to enhancing artist-fan connections and creating new revenue streams for rightsholders.

Prepare for Collaborative Scenarios

This role involves working closely with cross-functional teams. Think of examples from your past experiences where you successfully collaborated with others. Highlight your communication skills and ability to explain complex topics simply, as this will be crucial in a team environment.

Research Scientist – Music Spotify
Musicindustryyorkshire

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