The interview process began with an initial screening by a recruiter to discuss the role, responsibilities, alignment with my experience, and willingness to self-relocate to NYC.
The first technical round was conducted on CoderPad, featuring SQL and Python questions.
Initially, the second round was communicated as a software development interview with system design, but it was unexpectedly changed to an API development-focused assessment in Python just a few hours before the interview.
Following this, there was no communication for a week, after which I was informed that they were looking for a candidate with more technical depth.
For the second round, which focused on API development with Python, they asked me to design an API for a sentiment analysis solution using FastAPI and explain how exception handling is implemented.
The following metrics were computed from 1 interview experience for the CVS Health Machine Learning Engineer role in New York, New York.
CVS Health's interview process for their Machine Learning Engineer roles in New York, New York is extremely selective, failing the vast majority of engineers.
Candidates reported having mixed feelings for CVS Health's Machine Learning Engineer interview process in New York, New York.