Ho presentato la mia candidatura online. La procedura ha richiesto 3 mesi. Ho sostenuto un colloquio presso Yandex (Mosca, ) nel mese di lug 2020
Colloquio
Improving existing algorithms, creating new ones, there are elements of machine learning, working with very large amounts of data and writing algorithms to work with them. Example - image search optimization in Yandex.images using machine learning
Domande di colloquio [1]
Domanda 1
Many simple algorithmic problems requiring the most efficient solution. For example - normalize unix path
Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso Yandex (Taskent) nel mese di apr 2025
Colloquio
They gave a code task, with 2-3 subtasks for more points. They gave 60 minutes for this. Then they gave 2 algorithm tasks, with medium/hard diff and 60 minutes as well.
Domande di colloquio [1]
Domanda 1
They gave a task about streaming producing and consuming properly.
Ho presentato la mia candidatura online. La procedura ha richiesto un giorno. Ho sostenuto un colloquio presso Yandex (Mosca, ) nel mese di gen 2025
Colloquio
One-hour video interview, where I had to solve a medium-level algo problem. I'd solved it, yet there were bugs in my code so I spent another half of the interview trying to find them. Finally I'd found them all, but time came to the end
The interview was more about checking the candidate's soft skills. Simultaneously common questions such as "From which character cannot start variable name in a Python", "What is 'dict' in Python, describe more about hashtable working logic" and etc...:
Domande di colloquio [1]
Domanda 1
Data Structure operations time and memory complexities
