Participate in groundbreaking research in artificial intelligence with a focus on large-scale generative applications to search and recommendation systems
Apply your scientific knowledge to analyze and collect data, identify problems, construct methodologies, including metrics and standard processes, conduct experiments, and devise scalable solutions through hands-on prototyping and development
Work on practical applications such as search, recommendation, language understanding in the music and talk audio domains
Collaborate with other scientists, engineers, product managers, designers, and data analysts across Spotify to design and develop innovative solutions to challenging problems
Impact Spotify products, while working on and iterating further a long-term research roadmap
Maintain a research profile through external engagement by publishing scientific papers, coordinating workshops, giving talks, and being an active community member at top conferences

You have a PhD in either information retrieval, intelligent systems, machine learning, computer science, or related areas
You have expertise in domains such as language technologies, generative AI technologies, information retrieval, and recommender systems
You have peer-reviewed publications at journals or conferences such as RecSys, TheWebConf, WSDM, SIGIR, EMNLP, ACL, COLM, ICML, ICLR, NeurIPS, or related
You have solid hands-on skills in sourcing, cleaning, manipulating, analyzing, visualizing, and modeling of large scale real data
You are passionate about making sense of user behavior, music content, and talk audio content using best available methods
You are a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results

Research Scientist – Personalization

Key skills