Cracking Citadel's Alpha Research Interview: Mastering ML Projects and Deep Learning Fundamentals

citadel | | Interview Experience

Interview Date: Not specified
Result: Not specified
Difficulty: Not specified

Interview Process

The interview focused on alpha research and included a series of questions about the candidate’s resume and deep learning fundamentals. The interviewer delved into the details of each project listed on the resume, asking about the inputs used, the rationale behind their selection, the scaling and aggregation techniques applied, and how the architecture was adjusted accordingly. Candidates who had projects centered around visualization seemed to be at a disadvantage, as there was often no need to modify the architecture for such projects. Additionally, the candidate was asked to perform hand-derivation of layer normalization on the spot.

Technical Questions

  1. Resume Project
  2. Machine Learning

Tips & Insights

Be prepared to discuss your projects in detail, focusing on the technical decisions made and their implications. Understand deep learning fundamentals thoroughly, as practical applications may be assessed during the interview.