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 environment, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on music and connect artists with fans through cutting-edge AI.
- Qualifications: Ph.D. in relevant fields and experience in generative modeling or machine learning.
- Other info: Inclusive workplace that values diverse perspectives and supports your career journey.
The predicted salary is between 42000 - 84000 £ per year.
Join to apply for the Senior Research Scientist - Music role at Spotify. 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. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.
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.
- 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: Spotify
Contact Detail:
Spotify 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 folks in the industry, especially those at Spotify or similar companies. Attend music tech meetups or conferences and don’t be shy about introducing yourself. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research and projects related to generative music technologies. This is your chance to demonstrate how you can push boundaries and create innovative solutions that align with Spotify’s mission.
✨Tip Number 3
Prepare for interviews by diving deep into Spotify’s products and their impact on artists and fans. Be ready to discuss how your expertise in machine learning and music generation can contribute to their goals. Tailor your responses to show you’re all about putting artists first!
✨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 serious about joining the team and contributing to the future of music technology at Spotify.
We think you need these skills to ace Senior Research Scientist - Music
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 enthusiasm for the industry and how it connects to your research.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Senior Research Scientist role. Highlight relevant experience in generative modelling, machine learning, and any publications that align with our mission at Spotify.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your skills and experiences, making it easy for us to see how you fit into our team and contribute to our innovative projects.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Spotify
✨Know Your Research Inside Out
Make sure you can discuss your previous research and publications in detail. Be prepared to explain complex concepts in simple terms, as this will showcase your ability to communicate effectively with both technical and non-technical team members.
✨Familiarise Yourself with Spotify's Values
Understand Spotify's mission and values, especially their focus on artist-first principles. Think about how your work aligns with these values and be ready to discuss how you can contribute to creating new listening experiences that celebrate artists.
✨Prepare for Technical Questions
Brush up on your coding skills, particularly in Python and libraries like PyTorch and NumPy. Expect technical questions related to generative modelling and machine learning, and practice explaining your thought process while solving problems.
✨Show Your Collaborative Spirit
Spotify values teamwork, so be ready to share examples of how you've successfully collaborated with cross-functional teams in the past. Highlight your experience working with scientists, engineers, and product managers to craft innovative solutions.