Senior Research Scientist - Music

Senior Research Scientist - Music

Full-Time 60000 - 80000 € / year (est.) Home office (partial)
Dangote Industries Limited

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.
  • Other info: Collaborate with a diverse team and engage with the global research community.
  • 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.

The predicted salary is between 60000 - 80000 € per year.

We are seeking a Senior Research Scientist to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art 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 3pm-6pm / EST 9am-12pm.

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.

Senior Research Scientist - Music employer: Dangote Industries Limited

Spotify is an exceptional employer that champions creativity and innovation within the music industry. With a commitment to artist-first principles, employees have the unique opportunity to work on groundbreaking research in generative music technologies while collaborating with a diverse team of experts. The flexible working environment across the EMEA region, combined with a strong focus on inclusivity and employee growth, makes Spotify a rewarding place for those passionate about transforming the way the world listens to music.

Dangote Industries Limited

Contact Detail:

Dangote Industries Limited Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Research Scientist - Music

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those connected to Spotify or similar companies. Attend music tech events and conferences to meet potential colleagues and get your name out there.

Tip Number 2

Show off your skills! Create a portfolio showcasing your research and projects related to generative music technologies. This will give you an edge and demonstrate your passion for the field.

Tip Number 3

Prepare for interviews by brushing up on your coding skills and understanding the latest trends in AI music generation. Be ready to discuss how your work can contribute to Spotify's mission of enhancing artist-fan connections.

Tip Number 4

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

We think you need these skills to ace Senior Research Scientist - Music

Generative Modeling
Machine Learning
Music Information Retrieval
Speech Processing
Audio Processing
Signal Processing
Probabilistic Modeling

Some tips for your application 🫡

Show Your Passion for Music:When writing your application, let your love for music shine through! Share any personal experiences or projects that highlight your connection to the music industry and how it fuels your research.

Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with our mission of putting artists first!

Highlight Your Research Impact:Don’t just list your publications—explain their significance! Describe how your research has contributed to the field and how it can influence the future of music generation and artist-fan connections.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our Artist-First AI Music lab!

How to prepare for a job interview at Dangote Industries Limited

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 technologies in music. This will show your passion and expertise in the field.

Showcase Your Collaboration Skills

Since this role involves working with cross-functional teams, be ready to share examples of past collaborations. Highlight how you’ve effectively communicated complex ideas to non-experts and how you’ve contributed to team success.

Understand the Artist-Fan Connection

Familiarise yourself with how AI can enhance the relationship between artists and fans. Be prepared to discuss innovative ideas on how generative music tools can create new experiences that celebrate artists while engaging listeners.

Prepare for Technical Questions

Brush up on your coding skills, especially in Python and libraries like PyTorch and NumPy. Expect technical questions related to machine learning and audio processing, and be ready to solve problems on the spot to demonstrate your analytical thinking.