Abstract: Methods, systems, and computer programs are provided for presenting career information based on career transitions of members. One method comprises generating, using a machine-learning (ML) model, an embedding for a current job position of a member of an online service. The model is obtained by training a ML program with training data for job transitions of members. Further, the method includes generating, by the ML model, embeddings for career transitions, of members of the online service, that occurred within a predetermined time period. For each career transition, a similarity value is calculated between the embedding of the career transition and the embedding for the current job position. Further, the method includes operations for ranking the career transitions based on the similarity values, generating a career insight for the member based on the ranked career transitions, and causing presentation of the career insight on a user interface.