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- Tasks: Experiment with AI tools and collaborate on innovative machine learning projects.
- Company: Join Spotify, a leading music tech company with a vibrant culture.
- Benefits: Paid internship, networking events, and hands-on experience in AI.
- Why this job: Dive into the exciting world of AI and shape the future of music technology.
- Qualifications: Pursuing a degree in a related field with programming experience.
- Other info: Work in London, enjoy a supportive environment, and grow your career.
The predicted salary is between 500 - 1500 £ per month.
Spotify is looking for enthusiastic students with a passion for music and an ambition to go far. This isn’t just any internship! Our paid internship program will give you the chance to gain in-depth knowledge of what it’s like to be a Spotify employee as well as get the opportunity to see the technology side of a fast growing company! Our summer internships will last for approximately 10 weeks this summer and start in mid-June.
We’re looking for Machine Learning Interns who are excited about the fast-moving world of AI and eager to learn by doing. This internship is intentionally exploratory: the specific projects and scope may evolve over time based on team needs, emerging ideas, and your interests.
What You’ll Do- Experiment with machine learning and modern AI tools, including large language models (LLMs).
- Prototype ideas, proof-of-concepts, or early-stage features using AI techniques.
- Explore new models, libraries, or workflows and share insights with your team.
- Learn how AI systems are evaluated, improved, and prepared for real-world use.
- Collaborate with engineers, researchers, designers, and product partners in a supportive, learning-focused environment.
- You are pursuing a Bachelor’s degree, Master’s degree or coding / AI bootcamp in a related field of study.
- You have a graduation year date of 2026 or 2027.
- You currently have valid work authorization to work in the country in which this role is based that will extend from June to August 2026.
- You are available from June 15th to August 21st, 2026 to participate in the summer internship.
- You’re genuinely curious about AI and enjoy learning through hands-on experimentation.
- You have some experience programming (Python, Java, or similar) and basic exposure to machine learning concepts through coursework, projects, research, or bootcamp work.
- You’re interested in areas like machine learning, generative AI, or large language models.
- You’re comfortable with ambiguity and excited by the opportunity to help shape what you work on.
- You enjoy collaborating, asking questions, and learning from others.
This role will require you to work out of our London office. Our internship program has a lot to offer with in office events and networking opportunities. To allow you to be fully immersed in our program and make the most of your time with us, we ask that you come into the office 3 days a week. Our paid summer internships last for approximately 10 weeks and start in mid-June 2026. The last day to apply is February 5, 2026 at 5 PM GMT.
2026 Summer Internship, Machine Learning Engineering (London) employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 2026 Summer Internship, Machine Learning Engineering (London)
✨Tip Number 1
Get your networking game on! Reach out to current or former Spotify interns on LinkedIn. Ask them about their experiences and any tips they might have. This can give you insider knowledge and maybe even a referral!
✨Tip Number 2
Show off your passion for AI! When you get the chance to chat with recruiters or during interviews, share your projects or experiments related to machine learning. It’s all about demonstrating your enthusiasm and hands-on experience.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your coding skills, especially in Python or Java. Practice common machine learning concepts and be ready to discuss how you’ve applied them in your studies or projects.
✨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 Spotify team. Get your application in before the deadline!
We think you need these skills to ace 2026 Summer Internship, Machine Learning Engineering (London)
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and machine learning shine through! Share any projects or experiences that highlight your curiosity and eagerness to learn. We want to see that you’re genuinely excited about the field!
Tailor Your Application: Make sure to customise your application to fit the role. Highlight relevant coursework, projects, or skills that align with what we’re looking for. This shows us that you’ve done your homework and are serious about joining our team!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and interests.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure it gets to the right people. Plus, you’ll find all the details you need about the internship there, so it’s a win-win!
How to prepare for a job interview at Spotify
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and programming skills, especially in Python or Java. Familiarise yourself with the latest AI tools and techniques, as you'll want to show your enthusiasm and knowledge during the interview.
✨Show Your Passion for Music and AI
Spotify is all about music, so don’t forget to express your love for it! Share how your passion for music intersects with your interest in AI and machine learning. This will help you connect with the interviewers on a personal level.
✨Prepare Questions
Interviews are a two-way street, so come prepared with thoughtful questions about the internship and the projects you might work on. This shows your curiosity and eagerness to learn, which is exactly what they’re looking for!
✨Be Ready for Ambiguity
Since the internship is exploratory, be prepared to discuss how you handle uncertainty and adapt to changing project scopes. Share examples from your past experiences where you've thrived in ambiguous situations, showcasing your flexibility and problem-solving skills.
