AI Personalization Scientist — Recommender Systems for Music

A leading audio entertainment service is looking for an Applied Scientist to innovate and advance music personalization through machine learning. This role involves developing state-of-the-art models, conducting A/B testing, and producing research that informs recommendations for millions of users. Candidates should have a PhD or Master’s degree in a related field with expertise in programming and algorithms. Competitive compensation includes a base pay of $136,000 to $223,400 depending on market location. #J-18808-Ljbffr