Artificial Intelligence Laboratory (VK)

The VK artificial intelligence laboratory opened at MIPT in September 2019. Here, students conduct research and create experimental products alongside VK specialists. We believe that work in this field brings the world closer to the next industrial revolution, and we are willing to provide our resources to help advance this work. 


At VK, we develop machine learning methods and implement them in our products. And now we are also developing artificial intelligence in partnership with large scientific centers, one of which being MIPT.


Avenues of research:

  • Natural language processing and generation
  • Recommender systems
  • Graph representations


The laboratory is headed by leading VK developers. They help students choose or come up with projects and provide assistance throughout the process. Their projects could be presented in scientific journals, become experimental products or solutions to tasks the company is working on.


In March 2019, we conducted the first VK Lab Talks seminar, where laboratory assistants and managers shared the results of their first months of work. All reports and interesting news from the laboratory can be found in its community: If you’re interested in artificial intelligence or want to join the lab, be sure to check it out.


How do I become a VK Lab assistant?

We plan to start recruiting new laboratory assistants in fall 2020. The announcement will be posted in our VK community. If you’re interested, start thinking about why you want to join the laboratory and be prepared to complete a test assignment. 


See you soon!



Pavel Kalaydin

Laboratory Director, AI Research, VK

Professional experience

Pavel graduated with honors from Peter the Great St. Petersburg Polytechnic University in 2007. For many years, he worked at Motorola Software where, among other things, he took part in the launch of the most advanced smart TV platform of its time on the Japanese market. Since 2015, he has been working at VK. There, he has been responsible for developing the news feed and ranking algorithms, categorization of posts by topic and integrating machine learning models into content moderation. 


In 2018, Pavel founded and became head of the VK Applied Research Division in which he works on developing machine learning and artificial intelligence technology. For example, his division created a neural network that can generate news headlines, as well as a text tokenization tool that works quicker than other popular solutions.




Natalya Limonova

Organizational matters

Professional experience

Artem Chumachenko

Laboratory assistant

Evgeniy Lagutin

Laboratory assistant

Kirill Talalaev

Laboratory assistant

Mikhail Makarov

Laboratory assistant

Oleg Lashinin

Laboratory assistant