Initial phone call with team manager. Back to back 1-hour interviews. First one was working through a real-life machine learning problem. Then a live coding exercise in Python using dictionaries and calculating term frequencies. Then an interview about my past projects/experience. Lastly, a final interview with the team co-manager.
Calculate term frequencies and TF-IDF scores using a simplified equation given a list of documents.
The following metrics were computed from 1 interview experience for the athenahealth Machine Learning Engineer role in United States.
athenahealth's interview process for their Machine Learning Engineer roles in the United States is extremely selective, failing the vast majority of engineers.
Candidates reported having very good feelings for athenahealth's Machine Learning Engineer interview process in United States.