Me postulé en línea. Acudí a una entrevista en Meta
Entrevista
6 rounds of interviews. behavior questions, model coding (get a read data set and build prediction model), model building (end-to-end solution), talk about experience, basic statistics questions, and algorithms. Can split into 2 days or finish in one day
Preguntas de entrevista [1]
Pregunta 1
algorithm part has basic questions about string operation.
model coding part has a classification model with xgboost.
Me postulé a través de una facultad o universidad. El proceso tomó 2 semanas. Acudí a una entrevista en Meta (Menlo Park, CA) en sept 2024
Entrevista
1-1 Technical Interview online on Zoom. I was asked about neural networks, loss functions, activation functions, and walkthrough of previous projects and work. Interviewer did not ask for any statistics questions.
Preguntas de entrevista [1]
Pregunta 1
How would you explain neural networks to someone without a technical background?
The phone interview lasted for one hour. The questions were not very difficult, yet covered broad scope. You need to be very familiar with the domain to response within the timeframe.
Preguntas de entrevista [1]
Pregunta 1
Binary classification related questions, and coding questions
Me postulé en línea. El proceso tomó 4 semanas. Acudí a una entrevista en Meta (Menlo Park, CA)
Entrevista
Consisted of 6 rounds.
-Python Coding
-Data Science Coding
-Behavioral
-Statistics Round
-ML Round
-Product Sense Round
Each round is 30 minutes. A break of 15 minutes between each rounds. Everyone was professional and easy going.
Preguntas de entrevista [1]
Pregunta 1
Given a dataset, write down all your steps from data manipulation to model building to prediction. Given two medium and easy level array problems to solve in python.
