The Research Scientist intern will conduct research in causal inference and machine learning, analyze data, develop methodologies, and collaborate across teams to enhance Spotify's products.
Spotify is looking for enthusiastic students/recent graduates 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.
Spotify’s mission is to unlock the potential of human creativity. We are looking for a Research Scientist intern specialising in causal inference and machine learning to help us with this mission. Successful applicants are encouraged to conduct research in causal inference and apply causal inference techniques to craft and build tools to help creators and Spotify teams to make better decisions. This is an opportunity to improve decision making with causal inference by collaborating with multiple teams to reshape Spotify’s existing products and develop new ones.
Our team is interdisciplinary, focusing on ensuring that the foundations of Spotify technologies are at or above the groundbreaking. In the process we aim to redefine and improve the state-of-the-art for the field and contribute to the wider research community by publishing papers.
What You'll Do
- Join an interdisciplinary team passionate about making every user and creator interaction with Spotify outstanding and in the process pushing innovation and contributing to the wider research community by publishing papers.
- You will participate in innovative fundamental and applied research in causal inference, machine learning, and related fields.
- You will apply your scientific knowledge to analyze and collect data, perform analyses, identify problems, devise solutions and construct methodologies, including metrics and best processes, and conduct experiments to validate these.
- You will be a valued member of an autonomous, cross-functional team working in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to craft creative solutions to challenging problems.
- External engagement such as publishing, giving talks, and being an active community member at top conferences is actively encouraged
Who You Are
- You are pursuing a Ph.D. degree in Computer Science, Physics, Mathematics, Engineering, with a focus on fundamental or applied causal inference, or equivalent experience. Familiarity with causal-inspired representation learning or RL is a strong plus. Previous proven industry experience is also a plus.
- 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 or September 2026
- You are available from June 15th onwards for a 10 or 12 week summer internship
- You have publications in relevant communities such as UAI, CLeaR, ICML, ICLR, NeurIPS, AAAI, WWW, KDD, or related.
- A problem-solver with experience with Python, R, or similar languages. Experience with tools like CausalML, EconML, TensorFlow, PyTorch, Scikit-learn, etc., is a strong plus.
- You have experience with hands-on skills in sourcing, cleaning, manipulating, analysing, visualising and modelling of real data.
- You are a creative problem-solver who is passionate about digging into complex problems and devising innovative ways to reach results
Where You'll Be
- 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 or 12 weeks and start in mid- June 2026. The last day to apply is February 5, 2026 at 5 PM GMT.
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.
Top Skills
Causalml
Econml
Python
PyTorch
R
Scikit-Learn
TensorFlow
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