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- Tasks: Conduct groundbreaking research in music generation and innovate with a cross-functional team.
- Company: Leading music streaming platform focused on artist-first AI music solutions.
- Benefits: Flexible working within EMEA, competitive salary, and impactful projects.
- Why this job: Join a creative team and shape the future of music technology.
- Qualifications: Ph.D. in relevant field with expertise in generative modeling and machine learning.
- Other info: Opportunity to make a significant impact on music tools and products.
The predicted salary is between 43200 - 72000 £ per year.
A leading music streaming platform is looking for a Staff Research Scientist to join their Artist-First AI Music lab. In this role, you will conduct groundbreaking research in music generation and work with a cross-functional team to create innovative applications.
The ideal candidate should have a Ph.D. and strong skills in generative modeling and machine learning, particularly in Python and PyTorch.
This position allows flexibility within the EMEA region and offers significant impact on music tools and products.
Staff Research Scientist, Artist-First AI Music in London employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Research Scientist, Artist-First AI Music in London
✨Tip Number 1
Network like a pro! Reach out to people in the music tech space, especially those who work at the company you're eyeing. A friendly chat can open doors and give you insights that might just set you apart from other candidates.
✨Tip Number 2
Show off your skills! If you've got projects or research that showcase your expertise in generative modelling or machine learning, make sure to highlight them in conversations. Bring your portfolio to life and let your passion for AI music shine through.
✨Tip Number 3
Prepare for the interview by diving deep into the company's products and their impact on artists. Understanding their mission will help you align your answers with their goals, making you a more attractive candidate.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Staff Research Scientist, Artist-First AI Music in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Ph.D. and any relevant experience in generative modelling and machine learning. We want to see how your skills in Python and PyTorch can contribute to our Artist-First AI Music lab!
Tailor Your Application: Don’t just send a generic application! We love it when candidates customise their CV and cover letter to reflect the specific role. Let us know why you’re excited about working with us in the music streaming space.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and passion for the role.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Spotify
✨Know Your Stuff
Make sure you brush up on your generative modelling and machine learning concepts. Be ready to discuss your Ph.D. research in detail, especially how it relates to music generation. This will show that you're not just knowledgeable but also passionate about the field.
✨Showcase Your Skills
Prepare to demonstrate your proficiency in Python and PyTorch. You might be asked to solve a coding problem or explain your previous projects. Having examples ready will help you illustrate your experience and make a strong impression.
✨Understand the Company’s Vision
Research the music streaming platform and its Artist-First AI Music lab. Familiarise yourself with their products and any recent innovations. This will allow you to align your answers with their goals and show that you’re genuinely interested in contributing to their mission.
✨Be Ready for Collaboration Questions
Since this role involves working with a cross-functional team, expect questions about teamwork and collaboration. Think of examples from your past experiences where you successfully worked with others to achieve a common goal, particularly in a research setting.
