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 48000 - 72000 £ per year.
We are seeking a Principal 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.
Principal Research Scientist – Music Spotify employer: Musicindustryyorkshire
Contact Detail:
Musicindustryyorkshire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Research Scientist – Music Spotify
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already at Spotify. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you’ve got projects or research that align with what Spotify is doing, don’t hesitate to share them. Create a portfolio or a GitHub repo showcasing your work in generative music tech.
✨Tip Number 3
Prepare for the interview by diving deep into Spotify’s culture and values. Understand their artist-first approach and think about how your experience can contribute to that mission. Be ready to discuss how you can push the boundaries of music generation!
✨Tip Number 4
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 are familiar with our processes.
We think you need these skills to ace Principal Research Scientist – Music Spotify
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 at Spotify.
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 align their skills with our needs!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your achievements and experiences. We value clarity, so avoid jargon unless it's necessary. Remember, we want to understand your journey without getting lost in complex terms!
Apply Through Our Website: Don’t forget to apply through our official website! It’s the best way to ensure your application gets to us directly. Plus, it shows you’re serious about joining our team. 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 its implications for music generation. Be ready to discuss your previous work, especially any publications in relevant conferences like ICASSP or NeurIPS. This shows you’re not just knowledgeable but also passionate about your field.
✨Showcase Your Coding Skills
Since strong coding skills in Python and libraries like PyTorch are essential, prepare to demonstrate your proficiency. You might be asked to solve a coding problem on the spot, so brush up on your algorithms and be ready to explain your thought process clearly.
✨Emphasise Collaboration
This role involves working closely with cross-functional teams, so highlight your experience in collaborative projects. Share examples of how you’ve successfully worked with scientists, engineers, or product managers to tackle complex challenges. It’s all about showing you can play well with others!
✨Connect with Their Mission
Spotify is all about enhancing artist-fan connections through innovative technology. Make sure to express your enthusiasm for this mission during the interview. Discuss how your work aligns with their values and how you can contribute to creating new listening experiences that celebrate artists.