Hi! As part of our recruitment process, we’d like you to complete the following technical test in 10 days.
We have two available ML internship tracks:
- ML Research internship
- ML Advocate Engineer internship
Based on the track you decided to follow, you will need to complete a different assignment.
Keep in mind that we strongly value:
- code quality, clarity & neatness
- short and straight to the point explanations if needed
- reasoned processes more than brute-force solutions
- reasoning more than the outcome
The assignment for ML Research intern is presented in this notebook: DS_R&D_Assignment.ipynb. The assignment consists in 5 exercises, in increasing order of difficulty. The first three exercises should be relatively simple, you shouldn’t spend too much time on them.
All the files needed in the exercises are included in this repository (e.g. points_1.npy, stopwords.txt).
Once you finish the exercise, you can send your notebook or share your code repository by email ([email protected]). If you want to share a private GitHub repository, make sure you give read access to mattbit.
If you have problems running the notebook, get in touch with Matteo at [email protected].
You will find the assignment for ML Advocate Engineer intern in this notebook: DS_TechWriting_Assignment.ipynb. The assignment consists in 2 exercises, the first one is a technical exercise and second a writing one.
All the files needed in the exercises are included in this repository (e.g. stopwords.txt).
Once you finish the exercise, you can send your notebook or share your code repository by email ([email protected] and [email protected]). If you want to share a private GitHub repository, make sure you give read access to luca-martial and jmsquare.
If you have problems running the notebook, get in touch with Luca at [email protected].
Tip
We hope this assignment will also offer a chance to learn something new. Good luck!