At a Glance
- Tasks: Advance AI-based machine listening technologies and innovate audio search methods.
- Company: Join Spotify's dynamic Audio Intelligence team in London.
- Benefits: Enjoy extensive learning opportunities, employee assistance, and free Spotify Premium.
- Other info: 10-week internship with excellent growth potential in a creative environment.
- Why this job: Make a real impact on how the world experiences music with cutting-edge technology.
- Qualifications: Ph.D. student with a passion for audio and expertise in machine learning.
The predicted salary is between 20000 - 30000 £ per year.
Spotify is looking for Research Scientist Interns to join our Audio Intelligence team in London. You’ll help advance AI-based machine listening technologies, develop innovative ways to search and process audio, and make a real impact on the way the world experiences music.
This internship, lasting approximately 10 weeks, requires a Ph.D. student with a passion for audio experiences and a strong background in machine learning and audio processing.
Benefits include extensive learning opportunities, employee assistance programs, and free Spotify Premium accounts.
Audio Intelligence Research Intern: Shape Music AI employer: Spotify
Spotify is an exceptional employer that fosters a vibrant and innovative work culture in the heart of London. As an Audio Intelligence Research Intern, you'll not only gain invaluable experience in cutting-edge AI technologies but also enjoy extensive learning opportunities, employee assistance programmes, and the perk of free Spotify Premium accounts. Join us to make a meaningful impact on how the world experiences music while growing your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Audio Intelligence Research Intern: Shape Music AI
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Spotify on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your passion for audio! When you get the chance, share your own projects or experiences related to audio processing. It’ll make you stand out as someone who truly cares about the field.
✨Tip Number 3
Prepare for the interview by brushing up on machine learning concepts and audio technologies. We want to impress them with our knowledge and enthusiasm, so let’s be ready to discuss how we can contribute to their team!
✨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 that you’re serious about joining the Spotify family.
We think you need these skills to ace Audio Intelligence Research Intern: Shape Music AI
Some tips for your application 🫡
Show Your Passion for Audio:When writing your application, let your love for music and audio shine through. Share any personal projects or experiences that highlight your enthusiasm for audio technologies and how they connect with your academic background.
Highlight Relevant Skills:Make sure to emphasise your machine learning and audio processing skills in your application. Use specific examples from your studies or previous work to demonstrate how you’ve applied these skills in real-world scenarios.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Audio Intelligence Research Intern role. Mention how your goals align with Spotify’s mission and the impact you hope to make.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being noticed. It’s super easy, and you’ll be able to showcase your application in the best light possible!
How to prepare for a job interview at Spotify
✨Know Your Audio Inside Out
Make sure you brush up on your knowledge of audio processing and machine learning. Familiarise yourself with the latest trends and technologies in audio intelligence, as well as Spotify's current projects. This will show your genuine interest and help you stand out.
✨Showcase Your Passion for Music
Since this role is all about shaping music AI, be prepared to discuss your personal connection to music. Share any relevant experiences or projects that highlight your passion for audio experiences. This can really resonate with the interviewers.
✨Prepare for Technical Questions
Expect some technical questions related to machine learning and audio processing. Brush up on key concepts and be ready to explain your thought process. Practising coding problems or discussing past projects can help you articulate your skills effectively.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current challenges or future projects. This not only shows your enthusiasm but also helps you gauge if the role aligns with your career goals.
