Me postulé en línea. El proceso tomó 2 semanas. Acudí a una entrevista en Rad AI en ene 2022
Entrevista
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.
Preguntas de entrevista [1]
Pregunta 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
Me postulé a través de un reclutador. El proceso tomó 2 semanas. Acudí a una entrevista en Rad AI en dic 2021
Entrevista
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.
Preguntas de entrevista [1]
Pregunta 1
Take home assessment based on python text manipulation