J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez WattTime en avr. 2022
Entretien
Take home project: 5hours+.
They are just fishing for people to improve their product. I spent a good amount of time on the model and optimized it to have a decent ROC AUC (~.9).
When I discussed my project with their engineer, I was asked no questions about ML specifics, but only about how I could potentially improve the model and how to develop new features.
1-2 weeks later I was sent a generic "thanks but no thanks because we found someone better" email. After about 1.5 months, I was contacted by a recruiter for this exact same position.
As others have mentioned. Its free consulting for them. A kaggle challenge with a carrot (job) on a stick.
Don't waste your time.
Questions d'entretien [1]
Question 1
How to detect power plant on/off via satellite images.
J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez WattTime (Phoenix, AZ) en mars 2022
Entretien
I got a call from manager and discussed a position. After that I was given an assignment. It directly corresponds to what they are doing. It looked suspicious to me, because the assignment was simple, but obviously they are trying to reach the best score on certain dataset. It is a free Kaggle competition between candidates. Don't waste your time with this company.
Questions d'entretien [1]
Question 1
How to detect a working plant based on image of smoke from it and some weather dataset.
J'ai postulé en ligne. Le processus a pris 3 semaines. J'ai passé un entretien chez WattTime en nov. 2021
Entretien
The interview process consisted of a phone screen, a ML take home assessment, two one on one technical interviews discussing the assignment and answering technical questions, and half-day group of virtual meetings simulating an on-site interview.
Questions d'entretien [1]
Question 1
Questions were broadly one of three types: 1) Technical design and model questions about the take home assessment 2) General technical questions about ML and software engineering 3) Behavioral questions.
One example of a behavioral question was "Why are you interested in finding a new role currently?"