Qualifications
PhD or Master's degree in Computer Science, Machine Learning, or a related field.Proven experience in developing machine learning models and algorithms.Familiarity with generative AI technologies and their application in personalization.Strong programming skills in languages such as Python, Java, or C++.Excellent analytical and problem-solving abilities.Ability to work collaboratively in a fast-paced, interdisciplinary team environment.Strong communication skills, with a track record of publishing research papers.
About the job
Join Spotify, a global leader in audio streaming with over 600 million listeners across 180 markets, where we empower users to discover music, podcasts, and audiobooks that inspire, entertain, and inform. Our Personalization team plays a crucial role in shaping user experiences by delivering tailored content that fosters exploration and enjoyment.
We are in search of a talented Research Scientist with a strong foundation in machine learning to enhance our personalization capabilities. Your expertise will drive the integration and optimization of cutting-edge generative AI technologies within our recommendation systems. Collaborate with a dedicated team of machine learning researchers committed to innovating the Spotify experience through advanced technology development aimed at achieving long-term user satisfaction.
As a vital member of our interdisciplinary team, you will ensure that our technological foundations not only meet but exceed industry standards, pushing the boundaries of what is possible in the field. You will also contribute to the broader research community by publishing your findings. Our team maintains strong connections with both internal product groups and external research networks.
About Spotify
At Spotify, we believe in the power of music and audio to connect the world. Our diverse team is dedicated to creating an inclusive platform that offers personalized experiences for every listener. With innovative technology at our core, we strive to redefine how people engage with audio content globally.