Research Scientist, Spotify

• You have a PhD in one of computer science, machine learning, information retrieval, natural language processing, data science, speech or related areas
• You will have a strong knowledge of natural language processing, machine learning, large language models, evaluation, deep learning, optimization techniques, information retrieval, recommender systems, and search or data mining
• You have publications in research communities such as ACL, EMNLP, SIGIR, FACCT, NeurIPS, ICML, WSDM, WWW, RecSys, KDD, AAAI, or related
• Proven hands-on skills in sourcing, cleaning, manipulating, analyzing, visualizing and modeling of real data
• Good coding skills and are familiar with engineering standard methodologies, and are enthusiastic about learning new tools to enable experimentation at scale
• You have a passion for making sense of user behavior, especially podcast and music 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
• You are a strong and written and verbal communicator

• The Content Platform Research team strives to unlock step-change opportunities for Content Platform, Experience, and Spotify through rigorous scientific research and to share our discoveries with Spotify and the broader scientific community
• We are now looking for a Research Scientist to join our team!
• You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies meet and extend state of the art for the field and contributing to the broader research community by publishing papers
• Our team has strong ties internally to product groups and externally to the research community
• Participate in innovative research in one of Machine Learning, Natural Language Processing, Information Retrieval, Language Technologies, Content Understanding, Speech Recognition, Audio Processing, Multimodal Modeling
• Apply your scientific knowledge to analyze and collect data, perform analyses, identify problems, devise solutions and construct methodologies, including metrics and standard processes, and conduct experiments to validate these
• Practical applications of audio, video and language understanding across music, podcasts and audiobooks
• Work in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions to challenging problems
• Have product impact while working on and further developing a long-term research roadmap
• Maintain a research profile through external engagement such as publishing, giving talks, and being an active community member at top conferences

• Extensive learning opportunities, through our dedicated team, GreenHouse
• Flexible share incentives letting you choose how you share in our success
• Global parental leave, six months off - fully paid - for all new parents
• All The Feels, our employee assistance program and self-care hub
• Flexible public holidays, swap days off according to your values and beliefs

Total funding: $2.1bn

Spotify was founded in an attempt to combat the rampant music piracy that was causing significant harm to the industry. The company has since taken music streaming mainstream and now has 180m+ paying subscribers across the world.