Senior Research Scientist - Music in London

Senior Research Scientist - Music in London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
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 in London 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 in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend music tech meetups, and connect with researchers on LinkedIn. Building relationships can open doors that a CV just can't.

Tip Number 2

Show off your passion for music and AI! When you get the chance to chat with potential employers, share your ideas on how generative technologies can enhance artist-fan connections. Let them see your enthusiasm!

Tip Number 3

Prepare for those interviews by brushing up on your coding skills and research topics. Be ready to discuss your past projects and how they align with Spotify's mission of putting artists first. Practice makes perfect!

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. 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 in London

Generative Modeling
Machine Learning
Music Information Retrieval
Audio Processing
Signal Processing
Probabilistic Modeling
Computer Vision

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 work or research. 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 related fields. We’re looking for candidates who can directly contribute to our mission, so make it clear how you fit the bill!

Be Clear and Concise:Keep your application straightforward and to the point. Use simple language to explain complex topics, especially your research. We appreciate clarity, and it helps us understand your thought process better!

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do—just follow the prompts!

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 you've worked on. 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 Collaboration Skills

Since this role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated with others in the past. Highlight your ability to communicate complex ideas simply and effectively, as this is crucial for teamwork.

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 technologies can create new listening experiences that celebrate artists, aligning with the company's mission.

Prepare Questions That Matter

Think of insightful questions to ask during the interview. This could include inquiries about the company’s approach to artist partnerships or how they envision the future of generative music. It shows your genuine interest and helps you assess if the company aligns with your values.