Research Scientist • Entry-Level

Who you are

You are an enthusiastic student or recent graduate with a strong interest in audiobooks, podcasts, or music — your ambition drives you to explore the technology side of a fast-growing company like Spotify. You have applied experience in AI, machine learning, and natural language processing, and you are eager to contribute to innovative projects that enhance user experiences.

Your background includes knowledge in audio and video analysis, network science, or computational social science — you understand the importance of rigorous research methodologies and are excited to apply your skills in a practical setting. You are a team player who thrives in collaborative environments and is ready to learn from experienced professionals in the field.

What you'll do

As a Research Scientist intern at Spotify, you will engage in projects that develop novel approaches to understanding audiovisual content — your work will directly impact how Spotify delivers safe, enjoyable, and inspiring listening experiences. You will collaborate with research teams based in the US East Coast and London, gaining insights into the technology that powers Spotify's offerings.

During your internship, you will have the opportunity to work on real-world problems, applying your knowledge of AI and machine learning to analyze data and extract meaningful insights. You will participate in brainstorming sessions, contribute to research papers, and present your findings to your team, enhancing your communication and presentation skills.

This internship will last for approximately 10 to 12 weeks, starting in the middle of June — you will gain in-depth knowledge of what it's like to be a Spotify employee while working on impactful projects that shape the future of audio content.

What we offer

Spotify provides a paid internship program that allows you to immerse yourself in the company culture and gain valuable experience in the tech industry. You will have access to mentorship from experienced professionals, networking opportunities, and the chance to work on cutting-edge technology in a collaborative environment. We encourage you to apply even if your experience doesn't match every requirement — your passion and willingness to learn are what matter most.