Me postulé en línea. El proceso tomó 3 meses. Acudí a una entrevista en Yandex (Moscú, ) en jul 2020
Entrevista
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
Preguntas de entrevista [1]
Pregunta 1
Many simple algorithmic problems requiring the most efficient solution. For example - normalize unix path
Me postulé a través de un reclutador. El proceso tomó 2 semanas. Acudí a una entrevista en Yandex (Tashkent) en abr 2025
Entrevista
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.
Preguntas de entrevista [1]
Pregunta 1
They gave a task about streaming producing and consuming properly.
Me postulé en línea. El proceso tomó 1 día. Acudí a una entrevista en Yandex (Moscú, ) en ene 2025
Entrevista
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...:
Preguntas de entrevista [1]
Pregunta 1
Data Structure operations time and memory complexities
