Research Scientist, Personalization

Job not on LinkedIn

April 2

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Logo of Spotify

Spotify

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

đź“‹ Description

• 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

🎯 Requirements

• 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

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