At a Glance
- Tasks: Join our Audio Intelligence team to develop innovative AI-based machine listening technologies.
- Company: Spotify, a leading music streaming platform with a focus on creativity and collaboration.
- Benefits: Paid internship, extensive learning opportunities, social events, and a Spotify Premium account.
- Other info: Work in a dynamic London office with a diverse and inclusive culture.
- Why this job: Make a real impact on how the world experiences music this summer!
- Qualifications: Pursuing a Ph.D. in relevant fields with experience in machine learning and coding skills.
The predicted salary is between 20000 - 30000 £ per year.
We are looking for Research Scientist Interns to join our Audio Intelligence team. Our mission is to advance the state of the art in AI-based machine listening technologies to unlock differentiating product opportunities for Spotify. During your internship, you’ll help to develop resourceful, efficient and intuitive new ways to search, explore, re-use, and process audio. Your work will impact the way the world experiences music, and the way artists can make a living. This is your chance to help craft the way the world listens, learn more about what we do, how we do it – and why it all matters. We’re looking for hard-working students with a passion for audio experiences and an ambition to go far. This isn’t just any internship, you’ll make an impact and play a real part in the success of Spotify, all over one unforgettable summer!
What You’ll Do
- Work with Research Scientists to develop and evaluate machine listening methods, combining machine learning, audio signal processing, probabilistic modeling and many other fields.
- Learn to run experiments at scale, having access to a catalog of 100M+ songs, 602M+ monthly active users, and making use of Spotify’s computing infrastructure.
- Leverage standard processes in building new datasets powering the next generation of machine learning research.
- Communicate your results and their importance to both key collaborators and in external publications.
- Be a valued member of an autonomous, cross-functional team of researchers, product managers, software engineers and others across the company.
Who You Are
- You are pursuing a Ph.D. degree in Computer Science, Mathematics, Engineering or a related subject area.
- You have valid work authorization to work in the country in which this role is based from June to August 2024.
- You have experience in at least two of the following fields: machine learning, music information retrieval, speech processing, audio signal processing, probabilistic modeling.
- You have strong coding skills in several of the following languages/libraries: Python, NumPy, TensorFlow, PyTorch.
- You have experience independently driving research projects, and in leading publications.
- You are a great communicator. You can explain complex topics in simple terms, and you love building strong relationships with colleagues and collaborators.
Where You’ll Be
This role will require you to work out of our London Office. Working hours? We operate within GMT for collaboration.
Our global benefits
- Extensive learning opportunities, through our dedicated team, GreenHouse.
- All The Feels, our employee assistance program and self-care hub.
- Social events, everything from fikas to connection time, panels and talks.
- Spotify Premium Account, listen without limits with a free employee account.
- Swag, official merch you can’t get anywhere else.
Our paid summer internships last for approximately 10 weeks and start at the beginning of June. The last day to apply is March 15th 2024 at 9 AM ET. 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.
2024 Summer Internship, Audio Intelligence Research Scientist Intern (London) employer: Spotify
Spotify is an exceptional employer, offering a vibrant work culture that fosters creativity and innovation in the heart of London. As a Research Scientist Intern, you'll have access to extensive learning opportunities, a supportive team environment, and the chance to make a tangible impact on how the world experiences music. With unique benefits like a Spotify Premium account and engaging social events, your summer internship will be both rewarding and unforgettable.
StudySmarter Expert Advice🤫
We think this is how you could land 2024 Summer Internship, Audio Intelligence Research Scientist Intern (London)
✨Tip Number 1
Network like a pro! Reach out to current or former interns and employees on LinkedIn. Ask them about their experiences and any tips they might have for landing the internship. Building connections can give us insights that you won’t find in the job description.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role involves machine learning and audio processing, make sure you can discuss your projects and how they relate to the work Spotify does. We want to see your passion shine through!
✨Tip Number 3
Showcase your creativity! Think of unique ways to present your past projects or research. Whether it’s through a portfolio or a presentation, we love seeing how you approach problems and come up with innovative solutions.
✨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 us you’re serious about joining the team. Remember, the deadline is March 15th, so get your application in early!
We think you need these skills to ace 2024 Summer Internship, Audio Intelligence Research Scientist Intern (London)
Some tips for your application 🫡
Show Your Passion for Audio:When you're writing your application, let your love for audio and music shine through! Share any relevant projects or experiences that highlight your enthusiasm for audio technologies. We want to see how you connect with the field!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this internship. Highlight your skills in machine learning, audio signal processing, and any coding languages mentioned in the job description. We’re looking for how you fit into our team, so make it clear!
Be Clear and Concise:Keep your application straightforward and to the point. Use simple language to explain your experiences and achievements. We appreciate clarity, and it helps us understand your background 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!
How to prepare for a job interview at Spotify
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning, audio signal processing, and any relevant coding languages like Python or TensorFlow. Be ready to discuss your past projects and how they relate to the role. This shows you're not just a fan of audio tech but that you can contribute meaningfully.
✨Show Your Passion
Spotify is all about music and audio experiences, so let your enthusiasm shine through! Talk about why you love audio technology and how it impacts the world. Share any personal projects or experiences that highlight your passion for the field.
✨Prepare for Technical Questions
Expect some technical questions during your interview. Practice explaining complex concepts in simple terms, as this will demonstrate your communication skills. You might be asked to solve problems on the spot, so review key algorithms and methodologies related to audio processing.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the team dynamics, ongoing projects, or how success is measured in the internship. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
