![]() ![]() You’ll help to develop intelligent, efficient and intuitive new ways to search, explore and discover music.You will 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 craft creative solutions to ambitious problems.You will apply your scientific knowledge to develop and evaluate machine learning methods, combining insights from statistics, signal processing, probabilistic modeling, reinforcement learning and many other fields.We ask that our team members be physically located in Central European time or Eastern Standard/Daylight time zones for the purposes of our collaboration hours. ![]() Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We built them by understanding the world of music and podcasts better than anyone else. From Daily Mix to Discover Weekly, we’re behind some of Spotify’s most-loved features. Each interview they brought up my Chegg skills certificates. Search for vacancies in metropolitan areas with the highest demand for AI/ML/Data Science professionals worldwide. In two months, I had two internship offers and a third one on the way. The Personalization team makes deciding what to play next easier and more enjoyable for every listener. Explore AI/ML/Data Science jobs globally. ![]()
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