General Introduction: Russia’s leading technology and internet services company, powering search, ecommerce, cloud computing

1.

General Introduction: Russia’s leading
technology and internet services
company, powering search, ecommerce, cloud computing, and
mobility solutions.
Technologies Introduction:
Development of search engines, AIdriven recommendation systems, and
cloud platforms and and much more.
Year of foundation: 1997 by Arkady
Volozh and Ilya Segalovich
Number of employees in Russia:
~25,000-29,000 employees
Number of employees in Saint
Petersburg: ~1,500 employees
Business and Key technologies in Russia Introduction:
Yandex excels in search, e-commerce, cloud, mobility, and
digital ads. Programmers focus on AI/ML (search algorithms,
NLP, recsys, generative AI, computer vision), Big Data (realtime analytics, predictive modeling), geospatial tech (mapping,
navigation), and cybersecurity (threat detection). These drive
Yandex Search, Market, Taxi, Cloud, Maps, and Ads, handling
millions of daily interactions (Aug 2025).
Business and Key Technologies in Saint Petersburg: Saint
Petersburg is a major Yandex R&D hub, emphasizing AI,
search, and geospatial tech. Programmers work on AI/ML
(search optimization, NLP, recsys, computer vision), Big Data
(analytics, user modeling), and geospatial tech (regional
mapping, navigation). The hub supports Yandex’s core
services and regional operations.
Main Office:
Moscow, Lva Tolstogo Street 16
Saint Petersburg:
Piskarevsky prospect, d. 2, Building
2, (Benoit BC)
Sverdlovskaya , 44, bld. 1 (Ferrum
BC)
Nizhny Novgorod: Alekseevskaya
Street 10/16
(Several hundred)
Rostov-on-Don: street
Nizhnebulvarnaya 6
Some other offices here:
https://yandex.com/company/contact
s/moscow
Yandex Search
Yandex Go
Yandex
Entertainment
Yandex Cloud
Yandex AI (Alice
and Beyond)
Technologies (main is
RED):
Technologies (main is
RED):
Technologies (main is
RED):
Technologies (main is
RED):
Technologies (main is
RED):
Algorithms & Data
Structures
ML/DL
NLP
Generative AI
Recommender Systems
Backend engineering
Frontend / Web
Mobile
Big Data
Data Engineering
Low-level solutions
Performance optimization
Security / Anti-fraud
Computer Vision
Speech technologies
Geospatial / Maps
Personalization
Algorithms & Data
Structures
ML/DL
NLP
Generative AI
Recommender Systems
Backend Engineering
Frontend / Web
Mobile Development
Big Data
Data Engineering
Low-level Solutions
Performance Optimization
Security / Anti-fraud
Computer Vision
Speech Technologies
Geospatial / Maps
Personalization
Algorithms & Data
Structures
ML/DL
MLOps
NLP
Recommender Systems
Backend Engineering
Frontend / Web
Mobile Development
Big Data
Data Engineering
Low-level Solutions
Performance Optimization
Security / Anti-fraud
Computer Vision
Speech Technologies
Video/Audio Engineering
Personalization
Algorithms & Data
Structures
ML/DL
MLOps
Backend Engineering
Frontend / Web
Mobile Development
Big Data
Data Engineering
Low-level Solutions
Networking
Performance Optimization
Security / Anti-fraud
DevOps & Automation
Managed Services & PaaS
Multi-cloud
Hybrid Solutions
NLP
Speech Technologies
Generative AI
LLM
Multimodal AI
MLOps
Conversational AI
ML/DL
Computer Vision
Personalization
Ethics and AI Safety
Data Engineering for ML
Cloud Infrastructure &
HPC
Applied Research &
Science
Key experts
(browser):
Aleksey
Loshkarev
Team Lead
Andrey
Kraynov
Senior
Developer
Key
experts:
Mikhail
Martikainen
Team Lead
Viktor
Dontsov
Senior
Developer
Key
experts:
Sergey
Voropaev
Tech Lead
Ramil
Gabdrakhm
anov
Team Lead
Key
experts:
Vasiliy
Ershov
Team Lead
Ilya
Postnov
Senior
Developer
Key
experts:
Dmitry
Lipin
CTO
Simon
Syrtsov
Senior
Developer

2.

Search & Portals
Yandex Go
Yandex Cloud & 360
Optimization of search algorithms, integration of ML
and NLP to increase relevance.
Support of the web portal, including news, weather,
and other informational services.
Creation of specialized services such as Yandex.Images,
Yandex.Video.
Support for Yandex.Direct
Application of machine learning to improve search,
integration of YandexGPT.
Improvement of ranking, compliance with local laws
and regulations.
Collaboration with teams such as Yandex.Maps for
service integration.
Development of ride-hailing and delivery services
with real-time optimization.
Integration of ML for route planning, pricing, and
driver allocation.
Enhancement of user experience through
personalized recommendations.
Expansion of multimodal transport options,
including scooters and public transit.
Collaboration with Yandex.Maps for accurate
navigation and geolocation.
Implementation of safety features and compliance
with local regulations.
Provision of scalable cloud infrastructure for
businesses and developers.
Development of AI-powered tools for data storage,
analytics, and processing.
Integration of Yandex’s proprietary technologies like
ClickHouse for big data.
Support for enterprise solutions with high availability
and security.
Expansion of 360 ecosystem for seamless integration
with Yandex services.
Optimization of cloud services using ML for resource
efficiency.
Entertainment (Yandex Plus)
Marketplace (Yandex Market)
Yandex Advertisements
Development of streaming platforms for video, music
content. Also include Yandex.Games.
Application of ML and recommendation algorithms for
personalized content delivery.
Support for original content production and licensing
partnerships.
Integration with Yandex services like Alice for voicecontrolled access.
Enhancement of user interfaces for seamless crossplatform experiences.
Use of analytics to optimize content performance and
user engagement.
Growth of e-commerce platform with diverse product
offerings.
Implementation of ML for personalized product
recommendations and search.
Optimization of logistics and delivery systems for
efficiency.
Support for third-party sellers with tools for inventory
and sales management.
Integration with Yandex Go for last-mile delivery
solutions.
Enhancement of user trust through secure payment
systems and reviews.
Development of targeted advertising solutions using
ML and user data.
Optimization of ad placement across Yandex Search,
portals, and apps.
Support for Yandex.Direct with advanced bidding and
analytics tools.
Integration of AI for real-time ad personalization and
performance tracking.
Compliance with local advertising regulations and
privacy standards.
Collaboration with Marketplace for product-based
advertising solutions.
Artificial Intelligence
Autonomous Vehicles
Yandex Practicum & Other
Advancement of ML, DL, and NLP for Yandex’s
ecosystem-wide applications.
Development of YandexGPT for conversational AI and
user assistance.
Enhancement of recommendation systems for search,
ads, and content.
Research and deployment of AI for autonomous
vehicles and robotics.
Creation of open-source tools like CatBoost for global
AI adoption.
Collaboration with Practicum for AI education and
talent development.
Development of self-driving technology using ML and
sensor fusion.
Creation of simulation platforms for testing
autonomous systems.
Collaboration with Yandex Go for integration into ridehailing services.
Optimization of navigation algorithms with
Yandex.Maps data.
Compliance with safety standards and local regulations
for deployment.
Research into scalable autonomous transport solutions
for urban environments.
Development of online education platforms for tech
and AI skills.
Creation of courses leveraging Yandex’s expertise in
ML, NLP, and data science.
Support for career development through practical,
project-based learning.
Collaboration with AI and Cloud teams for real-world
case studies.
Expansion of outreach programs to foster tech talent
globally.
Support for experimental projects and innovation
within Yandex’s ecosystem.

3.

Key product: Yandex Browser & Yandex Search
Yandex.Browser is a web browser developed by Yandex, a Russian multinational corporation specializing in
internet products and services. Launched in 2012, it is based on the open-source Chromium project, making it a
close relative of Google Chrome. The browser targets users, particularly in Russia, offering unique features such as
Turbo Mode for faster page loading on slow connections and Protect Technology for enhanced security. This report
provides a detailed analysis of Yandex.Browser’s architecture, technology stack, key features, development
insights, strengths and weaknesses, and a comparison with other browsers.
Stack, components and features
Rendering Engine - Blink, used in Chromium-based browsers,
including Google Chrome.
Core Language - C++ for developing the browser’s core
components. JavaScript Engine: V8 - compiles and executes
JavaScript code on pages
Mobile Development - Java and Kotlin for the Android version,
using JNI (Java Native Interface) for native code.
Server-Side Components - Yandex servers for features like
Turbo Mode, which compresses web pages.
Experienced developers
Vladimir Egorov – since 2019 year developing Yandex Browser.
Graduated in Saint Petersburg State Electrotechnical University
"LETI“.
Andrey Kraynov – was developing Yandex Browser since 2012
till 2018. Last 7 years he is in Yandex.Cloud team. Finished
Kemerovo State University
Kirill Aldonin – develop iOS version of Yandex Browser since
2017. He also finished Saint Petersburg State Electrotechnical
University "LETI“.
Turbo Mode - Compresses web pages and images on Yandex
servers to speed up loading.
SmartBox - An omnibox combining search and address input,
with keyboard layout switching support.
Protect Technology - Scans files and websites for viruses, blocks
phishing, and protects data.
Yandex Integration - Easy access to Yandex.Mail, Yandex.Disk,
Yandex.Maps, and other services.
Customization - Extensive options for customizing the interface
and browser behavior.
Corporate Version - Based on Chrome Enterprise, with features
for organizations.
DNSCrypt - The first browser to implement DNS traffic encryption
for enhanced privacy.
You can read
full technical
analysis about
Yandex
browser here