Me postulé en línea. Acudí a una entrevista en Databricks (San Francisco, CA) en ene 2024
Entrevista
HR round is very good, technical interview could be really hard, I feel like they expect candidates have comprehensive understanding of ML/DS. There are many follow up questions and discussions about edge cases
The interview questions includes from ML concepts to python design, which is harder than I expected. But can use SQL as well. You can choose what you want to use.
3 rounds, 1 case interview, 1 fundamentals and 1 SQL interview. The case interview was extremely technical and the fundamentals interview didn't cover my resume at all. Overall it was quite difficult, and the fundamentals interview prep sheet was not helpful at all
Preguntas de entrevista [1]
Pregunta 1
Q1: what are the assumptions of linear regression
Q2: would a random forest overestimate or underestimate revenue compared to a ARIMA model when forecasting average revenue
Me postulé a través de una recomendación de un empleado. Acudí a una entrevista en Databricks
Entrevista
Recruiter call, 30 min HM interview, 45 min technical call, take home assignment (GenAI focused project), then multi-hour virtual onsite covering ML engineering, ML technical fundamentals, statistics, and behavioral questions/career aspirations. Did not advance past the technical call
Preguntas de entrevista [1]
Pregunta 1
Explain the transformer architecture and how it is different than other autoregressive models
