Applied Scientist, Recommender Systems & Personalization

A leading technology firm in San Francisco is seeking an Applied Scientist to develop advanced machine learning models for recommendation systems. You'll collaborate with talented teams and have opportunities to publish your research. Ideal candidates have a PhD or Master's degree and relevant programming experience. This role offers competitive compensation ranging from $136,000 to $223,400 per year, depending on market location and experience. #J-18808-Ljbffr