Research Scientist - Personalization
2 days ago
🔄 Hybrid – London
Description
• Participate in groundbreaking research in machine learning. • 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. • Work on practical applications such as recommendation, search, voice and language understanding, and areas related to music and talk audio. • Work in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to craft creative solutions to challenging problems. • You'll have product impact, while working on and further developing a long-term research roadmap. • You will maintain a research profile through external engagement such as publishing, giving talks, and being an active community member at top conferences.
Requirements
• You have a PhD or are currently enrolled in a PhD program in machine learning or related area. • You have solid understanding in machine learning, recommender systems and generative AI. • Publications at top machine learning conferences or journals such as NeurIPS, ICML, ICLR, KDD, Recsys, SIGIR or related. • Proven hands-on skills in sourcing, cleaning, manipulating, analyzing, visualizing and modeling of real data. • A passion for making sense of user behavior, especially talk and music content, using the best available methods. • You're a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results.
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