J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez Rad AI en janv. 2022
Entretien
Had a pleasant experience while interviewing with Rad. The process started with initial "touch base" with the recruiter to evaluate the suitability of continuing in the process. The next step was a take home challenge which involved cleaning messy medical data (synthetic) to bring it into suitable format. A 24 hr window was provided to work on the challenge. The problem was open ended in nature so it took some time to figure out what a reasonable solution might look like. The next step was a technical which involved in depth discussion of the solution of the data engineering challenge , a case study and some questions related to past projects. Final behavioral interview with one of the execs of the company.
Thoroughly enjoyed the interviewing process. Communication was prompt throughout the process. The entire process was wrapped up in 15 days.
Questions d'entretien [1]
Question 1
What are the different types of metrics to evaluate text summaries?
How would you evaluate the performance of summarization ml models ?
How would you clean up some of the formatting errors which are present in the medical reports to make it more useable for training?
How would you set up pipelines for the data cleaning process ?
They had a phone screen and take home assessment after that. The process was fast overall. I got the assessment the next day of the phone screen. The interviewer was very co operative
J'ai postulé via un recruteur. Le processus a pris 2 semaines. J'ai passé un entretien chez Rad AI en déc. 2021
Entretien
Pretty straightforward. Sandra (recruiter) reached out to me via Linkedin, which was followed by a phone screen with her, a take home assessment, 2 hour technical interview and finally a chat with the VP of engineering.
Questions d'entretien [1]
Question 1
Take home assessment based on python text manipulation
