2026 Summer Internship, Research Scientist - PhD (New York City)

Spotify•New York, NY

30d•$55 - $55•Hybrid

About The Position

Spotify is looking for enthusiastic students/recent graduates with a passion for creativity 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 or 12 weeks this summer and start in the middle of June. We are looking for Research Scientist interns in the fields of artificial intelligence, machine learning, economics, foundational modeling, and LLMs. Our teams are based in the US (East coast) and Europe working on a diverse range of research topics and applied problems. We use a variety of approaches and methods to answer research questions related to how people interact and engage with Spotify. We work on a broad range of Spotify features - personalized playlists like iDJ & Discover Weekly, Search and Recommendations, and foundational AI systems powering recommendations of music, podcasts, and audiobooks to more than 600 million users with billions of interactions.

Requirements

You are pursuing a PhD in Computer Science, Information Science, Economics, Statistics, or related areas with a strong computational focus.
Strong preference for 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 September 2026.
You are available from June 15th onwards for a 10 or 12 week summer internship .

Nice To Haves

You have publications in communities such as NeurIPS, ICML, ICLR, EC, AAAI, RecSys, The Web Conference, ACL, SIGIR, WSDM, KDD, Interspeech, or related venues (preferred)
You are a creative problem-solver who is passionate about digging into complex problems and devising innovative ways to reach results (preferred)
You have experience with the complexities of modeling and analyzing real-world data (preferred)

Responsibilities

Be part of an interdisciplinary team focused on making every user interaction with Spotify amazing through personalization and discovery, and in the process pushing innovation and contributing to the wider research community by publishing papers.
Apply your scientific knowledge to application-oriented problems in artificial intelligence, economics, machine learning, search and recommendation, speech processing, and natural language processing, combining insights from your expertise with those of our diverse team of research scientists.
Be a valued member of an autonomous, multi-functional team working in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions to challenging problems.
Help to develop thoughtful, efficient, and intuitive new ways to search, explore and discover music, podcasts, and audiobooks.