CVS Health used HireVue.
Technologies like HireVue train machine learning models on interviews of past hires that did well, and attempt to predict the success of potential hires by analyzing video footage with the same machine learning model.
Using an opaque machine learning model to filter potential hires is just asking to bring systematic bias into the onboarding pipeline.
What if the majority of successful hires in the past were a particular race or gender? It's pretty much impossible to work around the bias that this would introduce in an ML model analyzing people's faces in HireVue interviews.
If you care at all about fixing systematic bias and companies that care for their employees, stay away from companies like CVS Health that are willing to use half-baked, biased ML projects like HireVue to automate recruiting.
n/a did not do interview questions.
The following metrics were computed from 11 interview experiences for the CVS Health Software Engineer (Internship) role in United States.
CVS Health's interview process for their Software Engineer (Internship) roles in the United States is fairly selective, failing a large portion of engineers who go through it.
Candidates reported having very good feelings for CVS Health's Software Engineer (Internship) interview process in United States.